{"id":36672,"date":"2026-08-18T14:06:25","date_gmt":"2026-08-18T06:06:25","guid":{"rendered":"https:\/\/aiportek.com\/?p=36672"},"modified":"2026-08-18T14:16:51","modified_gmt":"2026-08-18T06:16:51","slug":"hybrid-rendering-autonomous-driving-simulation-3dgs","status":"publish","type":"post","link":"https:\/\/aiportek.com\/en\/hybrid-rendering-autonomous-driving-simulation-3dgs\/","title":{"rendered":"[Hongke Solution] Autonomous Driving Simulation Hybrid Rendering Solution \u2013 3DGS and NeRF High-Fidelity Reconstruction"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"36672\" class=\"elementor elementor-36672\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-303a47ec elementor-section-stretched elementor-section-full_width elementor-section-height-min-height elementor-section-content-middle elementor-section-height-default elementor-section-items-middle\" data-id=\"303a47ec\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-27d5e225\" data-id=\"27d5e225\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-4e369ae3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4e369ae3\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-6555484e\" data-id=\"6555484e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-397ef20e elementor-widget elementor-widget-heading\" data-id=\"397ef20e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Hongke's latest articles<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-4b5c0d9b elementor-absolute elementor-widget elementor-widget-heading\" data-id=\"4b5c0d9b\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">HongKe<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6d18033c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6d18033c\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1f96cecf\" data-id=\"1f96cecf\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fd50b9b elementor-widget elementor-widget-text-editor\" data-id=\"fd50b9b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d303089 elementor-widget elementor-widget-text-editor\" data-id=\"d303089\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-4b0e7b4e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4b0e7b4e\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-7a4b7cfc\" data-id=\"7a4b7cfc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-79a3214 elementor-widget elementor-widget-heading\" data-id=\"79a3214\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">[Hongke Solution] High Fidelity + Strong Control: A Hybrid Rendering Solution for Autonomous Driving Simulation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-226f412 elementor-widget elementor-widget-post-info\" data-id=\"226f412\" data-element_type=\"widget\" data-widget_type=\"post-info.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-inline-items elementor-icon-list-items elementor-post-info\">\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-2358f4d elementor-inline-item\" itemprop=\"author\">\n\t\t\t\t\t\t<a href=\"https:\/\/aiportek.com\/en\/author\/hongketechnology\/\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-user-circle\" viewbox=\"0 0 496 512\" 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elementor-inline-item\" itemprop=\"datePublished\">\n\t\t\t\t\t\t<a href=\"https:\/\/aiportek.com\/en\/2026\/08\/18\/\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-calendar\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M12 192h424c6.6 0 12 5.4 12 12v260c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V204c0-6.6 5.4-12 12-12zm436-44v-36c0-26.5-21.5-48-48-48h-48V12c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v52H160V12c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v52H48C21.5 64 0 85.5 0 112v36c0 6.6 5.4 12 12 12h424c6.6 0 12-5.4 12-12z\"><\/path><\/svg>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-date\">\n\t\t\t\t\t\t\t\t\t\t<time>August 18, 2026<\/time>\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c027dd7 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"c027dd7\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9aba933 elementor-widget elementor-widget-heading\" data-id=\"9aba933\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-small\">01 Industry Pain Points and Challenges<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d3381e7 elementor-widget elementor-widget-text-editor\" data-id=\"d3381e7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"8\">Research and development in autonomous driving relies heavily on high-quality data; however, the mainstream simulation testing approaches currently used in the industry each have significant shortcomings:<\/p><ul data-path-to-node=\"9\"><li><p data-path-to-node=\"9,0,0\"><b data-path-to-node=\"9,0,0\" data-index-in-node=\"0\">Traditional simulators (such as CARLA)<\/b>: Based on a game engine architecture, scenes offer a high degree of control and objects can be arranged freely; however, the rendering quality lacks realism, resulting in a significant \u201c<b data-path-to-node=\"9,0,0\" data-index-in-node=\"71\">Domain Shift<\/b>\"\u2014Algorithms that perform well in simulation environments often perform significantly worse when deployed in real vehicles. In addition, building high-precision 3D environments requires a significant amount of manual labor.<\/p><\/li><li><p data-path-to-node=\"9,1,0\"><b data-path-to-node=\"9,1,0\" data-index-in-node=\"0\">Neural Reconstruction Methods (NeRF \/ 3DGS)<\/b>: It can generate photo-realistic renderings, but the scene itself is in a \u201cfixed\u201d state\u2014dynamic objects can only move along their original trajectories. If new objects are inserted or their motion trajectories are altered, the reconstruction quality will deteriorate significantly, making it difficult to support simulation testing for extreme scenarios such as lane-changing to overtake or sudden evasive maneuvers.<\/p><\/li><\/ul><p data-path-to-node=\"10\">Each of these two technical approaches has its own suitable use cases, and deeply integrating their core strengths represents a more practical path to engineering implementation. Building on this approach, this article will explore the application architecture and core value of hybrid rendering in real-world scenarios.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6e10d8 elementor-widget elementor-widget-heading\" data-id=\"a6e10d8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-small\">02 How the Two Technologies Can \"Complement Each Other\"<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c12e546 elementor-widget elementor-widget-text-editor\" data-id=\"c12e546\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"13\">The basic logic behind blend rendering is as follows:<b data-path-to-node=\"13\" data-index-in-node=\"11\">Static environments are rendered using neural reconstruction, while dynamic objects are loaded using traditional graphics technology.<\/b>The<\/p><p data-path-to-node=\"14\">The overall workflow can be simplified as follows: first, use real-world data to reconstruct static street scenes; then, freely place vehicles and pedestrians within those scenes, while flexibly adjusting the weather and camera angles. Static areas retain the photo-realistic quality of neural rendering, while dynamic objects are rendered using traditional methods to allow for a high degree of control.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c2bbd8e elementor-widget elementor-widget-image\" data-id=\"c2bbd8e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"734\" height=\"836\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-11.webp\" class=\"attachment-large size-large wp-image-36679\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-11.webp 734w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-11-263x300.webp 263w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-11-11x12.webp 11w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-11-600x683.webp 600w\" sizes=\"(max-width: 734px) 100vw, 734px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Complete Pipeline for Scene Reconstruction<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54d03fe elementor-widget elementor-widget-text-editor\" data-id=\"54d03fe\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"16\">This production line relies on four types of raw input\u2014[in-vehicle camera imagery, LiDAR point clouds, vehicle odometer data, and camera internal and external parameters]\u2014to perform preliminary data processing. Its core comprises four major modules:<\/p><ol start=\"1\" data-path-to-node=\"17\"><li><p data-path-to-node=\"17,0,0\"><b data-path-to-node=\"17,0,0\" data-index-in-node=\"0\">Dynamic Object Mask Generation<\/b>: The solution reconstructs only the static areas of the scene, using <b data-path-to-node=\"17,0,0\" data-index-in-node=\"58\">OneFormer<\/b> Panoramic segmentation, optical flow tracking, and LiDAR\u2013camera 3D detection technology identify moving targets such as pedestrians and vehicles; By fusing the results of image-based spatial tracking and 3D bounding box-based static object detection, dynamic masks are generated to mask out moving objects during subsequent model training, ensuring the purity of the static scene reconstruction.<\/p><\/li><li><p data-path-to-node=\"17,1,0\"><b data-path-to-node=\"17,1,0\" data-index-in-node=\"0\">LiDAR Depth and Intensity Map Generation<\/b>: First, the laser point clouds corresponding to moving objects are removed, and a static aggregated point cloud is obtained through odometer calibration and stitching; then, <b data-path-to-node=\"17,1,0\" data-index-in-node=\"91\">BEV (Bird's-Eye View) Perspective<\/b>Perform Poisson reconstruction in sub-blocks to generate a dense mesh, and then, based on the camera calibration parameters, use <b data-path-to-node=\"17,1,0\" data-index-in-node=\"153\">Open3D<\/b> It generates dense depth maps and LiDAR intensity maps, providing precise geometric supervision for neural reconstruction and effectively addressing reconstruction distortion in low-texture areas such as road surfaces.<\/p><\/li><li><p data-path-to-node=\"17,2,0\"><b data-path-to-node=\"17,2,0\" data-index-in-node=\"0\">Camera Pose Precision Optimization<\/b>: Based on an improved version <b data-path-to-node=\"17,2,0\" data-index-in-node=\"52\">COLMAP<\/b> Perform iterative triangulation and bundle adjustment to optimize the camera's internal and external parameters, and then use <b data-path-to-node=\"17,2,0\" data-index-in-node=\"102\">Kabsch Algorithm<\/b>Align the optimized pose back to the original world coordinate system to eliminate the pose noise inherent in the vehicle's odometer and ensure geometric accuracy in large-scale scene reconstruction.<\/p><\/li><li><p data-path-to-node=\"17,3,0\"><b data-path-to-node=\"17,3,0\" data-index-in-node=\"0\">BEV Block-wise Parallel Processing (BEV)<\/b>: Drawing on <b data-path-to-node=\"17,3,0\" data-index-in-node=\"51\">SUDS<\/b> The clustering approach divides the scene into overlapping blocks: the camera coordinates are transformed into BEV space, blocks are partitioned using K-nearest neighbors (KNN) clustering, and the clusters are then extended and expanded using convex hulls to ensure block overlap; The overlapping design eliminates rendering discontinuities (artifacts) at block boundaries, supports cross-block rendering interpolation, adapts to irregular driving trajectories, and enables parallel training of individual blocks, supporting <b data-path-to-node=\"17,3,0\" data-index-in-node=\"192\">100,000 square meters or more<\/b>Reconstruction of ultra-large-scale scenes.<\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b6d788 elementor-widget elementor-widget-heading\" data-id=\"3b6d788\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-small\">NeRF2GS Two-Stage Reconstruction Core Algorithm<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-99ea62d elementor-widget elementor-widget-text-editor\" data-id=\"99ea62d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"19\">adopt <b data-path-to-node=\"19\" data-index-in-node=\"3\">\u201cNeRF Pre-training + 3DGS Real-time Rendering\u201d<\/b> A two-stage architecture that combines NeRF\u2019s excellent view extrapolation capabilities with the real-time rendering advantages of 3D Gaussian Splatting (3DGS), thoroughly addressing the shortcomings of single-method approaches:<\/p><ul data-path-to-node=\"20\"><li><p data-path-to-node=\"20,0,0\"><b data-path-to-node=\"20,0,0\" data-index-in-node=\"0\">Phase 1: Training a Custom NeRF Model<\/b><\/p><p data-path-to-node=\"20,0,0\">Based on Nerfstudio's <b data-path-to-node=\"20,0,0\" data-index-in-node=\"35\">Nerfacto<\/b> Modify the model to add supervisory constraints across multiple dimensions:<\/p><ul data-path-to-node=\"20,0,1\"><li><p data-path-to-node=\"20,0,1,0,0\">Incorporating LiDAR Depth Loss and Sky Region Density <span class=\"math-inline\" data-math=\"L_2\" data-index-in-node=\"18\">$L_2$<\/span> Regularization, to suppress floating artifacts on the road surface;<\/p><\/li><li><p data-path-to-node=\"20,0,1,1,0\">A new MLP neural network was developed to predict LiDAR reflectance, and cross-entropy loss was used to perform semantic segmentation prediction across 32 classes;<\/p><\/li><li><p data-path-to-node=\"20,0,1,2,0\">adopt<b data-path-to-node=\"20,0,1,2,0\" data-index-in-node=\"2\">Bidirectional-Guided ISP Decoupling Solution<\/b>, eliminate color inconsistencies caused by the automatic exposure and white balance settings of in-vehicle cameras, and produce a reference scene representation free of imaging artifacts.<\/p><\/li><\/ul><\/li><li><p data-path-to-node=\"20,1,0\"><b data-path-to-node=\"20,1,0\" data-index-in-node=\"0\">Phase 2: Multi-Constraint Reinforcement 3DGS Splash Training<\/b><\/p><p data-path-to-node=\"20,1,0\">Using the RGB, depth, normal, intensity, and semantic maps output by NeRF as supervision and initialization, we add multiple regularization losses on top of the gsplat backend and the AbsGS refinement strategy:<\/p><ul data-path-to-node=\"20,1,1\"><li><p data-path-to-node=\"20,1,1,0,0\"><b data-path-to-node=\"20,1,1,0,0\" data-index-in-node=\"0\">Normal + Flatness Constraint Loss<\/b>: By aligning the Gaussian distribution with real-world road surfaces and building floor plans, the rendering quality of details such as lane markings and road signs is significantly enhanced from a new perspective.<\/p><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bfd2185 elementor-widget elementor-widget-image\" data-id=\"bfd2185\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-1-2-1024x683.webp\" class=\"attachment-large size-large wp-image-36673\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-1-2-1024x683.webp 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-1-2-300x200.webp 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-1-2-768x512.webp 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-1-2-18x12.webp 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-1-2-600x400.webp 600w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-1-2.webp 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-af80536 elementor-widget elementor-widget-text-editor\" data-id=\"af80536\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none;\"><ul><li data-path-to-node=\"20,1,1,1,0\"><b data-path-to-node=\"20,1,1,1,0\" data-index-in-node=\"0\">LiDAR Intensity + Semantic Loss<\/b>: Reflected intensity and 6-bit binary semantic codes are used as Gaussian additional features to enable multimodal information embedding.<\/li><li><p data-path-to-node=\"20,1,1,2,0\"><b data-path-to-node=\"20,1,1,2,0\" data-index-in-node=\"0\">Gaussian Mechanism for Sky-Ground Separation<\/b>: Split the scene into a ground Gaussian and a distant spherical sky Gaussian, and use transparency accumulation loss to enforce spatial separation between the two layers, thereby eliminating geometric ambiguity in the background.<\/p><\/li><\/ul><\/li><\/ul><p data-path-to-node=\"21\">Ultimately, it achieved a balance between<b data-path-to-node=\"21\" data-index-in-node=\"6\">Realistic Geometry, Multimodal Properties, and Real-Time Rendering Capabilities<\/b>Static scene 3DGS models, serving as the static environment foundation for a hybrid rendering pipeline.<\/p><p data-path-to-node=\"22\">This solution addresses the shortcomings of both types of technologies:<b data-path-to-node=\"22\" data-index-in-node=\"17\">Use neural reconstruction to mitigate the \u201cdomain shift\u201d in traditional simulation, and use traditional graphics techniques to address the \u201cscene lock-in\u201d limitation of neural reconstruction.<\/b>The<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7511076 elementor-widget elementor-widget-heading\" data-id=\"7511076\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-small\">03 The Three Core Capabilities of a Hybrid Rendering Framework<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e8e4b0a elementor-widget elementor-widget-text-editor\" data-id=\"e8e4b0a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>From the perspective of practical engineering applications, this solution primarily addresses three key issues:<b data-path-to-node=\"25\" data-index-in-node=\"28\">Is the scene large enough? Is the image quality detailed enough? Can the generated data be used directly?<\/b>The<\/p><p data-path-to-node=\"26\">1. <strong>The scenes are vast in scale, and the image quality is high and reliable.<\/strong><\/p><p>Supports block-parallel training <b data-path-to-node=\"27\" data-index-in-node=\"12\">100,000 square meters or more<\/b>large-scale scene reconstruction (roughly equivalent to 14 standard soccer fields). In areas critical to autonomous driving\u2014such as lane markings and road signs\u2014the rendering quality is significantly superior to that of existing, commonly used solutions.<\/p><p data-path-to-node=\"28\"><strong>2. Multimodal output, providing comprehensive coverage of mainstream sensors<\/strong><\/p><p>Can output simultaneously <b data-path-to-node=\"29\" data-index-in-node=\"6\">RGB images, depth maps, LiDAR point clouds, surface normal maps, and semantic segmentation masks<\/b>...a single workflow can comprehensively address the simulation needs of various sensors, including cameras and LiDAR.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-20d4773 e-grid e-con-boxed e-con e-parent\" data-id=\"20d4773\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-10a8f95 elementor-widget elementor-widget-image\" data-id=\"10a8f95\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-2-3-1024x683.webp\" class=\"attachment-large size-large wp-image-36674\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-2-3-1024x683.webp 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-2-3-300x200.webp 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-2-3-768x512.webp 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-2-3-18x12.webp 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-2-3-600x400.webp 600w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-2-3.webp 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e55e392 elementor-widget elementor-widget-image\" data-id=\"e55e392\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-3-3-1024x683.webp\" class=\"attachment-large size-large wp-image-36675\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-3-3-1024x683.webp 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-3-3-300x200.webp 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-3-3-768x512.webp 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-3-3-18x12.webp 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-3-3-600x400.webp 600w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-3-3.webp 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5fc5cf7 elementor-widget elementor-widget-image\" data-id=\"5fc5cf7\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-4-2-1024x683.webp\" class=\"attachment-large size-large wp-image-36676\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-4-2-1024x683.webp 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-4-2-300x200.webp 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-4-2-768x512.webp 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-4-2-18x12.webp 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-4-2-600x400.webp 600w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-4-2.webp 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cbcbd28 e-grid e-con-boxed e-con e-parent\" data-id=\"cbcbd28\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8f9e545 elementor-widget elementor-widget-image\" data-id=\"8f9e545\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-5-1-1024x683.webp\" class=\"attachment-large size-large wp-image-36677\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-5-1-1024x683.webp 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-5-1-300x200.webp 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-5-1-768x512.webp 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-5-1-18x12.webp 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-5-1-600x400.webp 600w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-5-1.webp 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-804cd39 elementor-widget elementor-widget-image\" data-id=\"804cd39\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-6-1-1024x683.webp\" class=\"attachment-large size-large wp-image-36678\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-6-1-1024x683.webp 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-6-1-300x200.webp 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-6-1-768x512.webp 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-6-1-18x12.webp 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-6-1-600x400.webp 600w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/08\/640-6-1.webp 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f06b8c2 elementor-widget elementor-widget-text-editor\" data-id=\"f06b8c2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"30\"><strong>3. Efficient operation; data is immediately available<\/strong><\/p><p data-path-to-node=\"31\">On consumer-grade hardware platforms, the camera rendering speed reaches <b data-path-to-node=\"31\" data-index-in-node=\"18\">83 frames per second (fps)<\/b>, 64-line LiDAR simulation speed reaches <b data-path-to-node=\"31\" data-index-in-node=\"45\">59 frames per second (fps)<\/b>... and fully supports real-time Hardware-in-the-Loop (HIL) testing.<\/p><p data-path-to-node=\"32\">Data generated using this approach was used to train a 3D object detection model, and the detection accuracy at close range was even higher than when using original real-world images\u2014primarily because the simulated data was more cleanly labeled and had a lower false positive rate. At the same time, the detection results for the simulated images are highly consistent with those for the original images, indicating that domain shift has been minimized. The generated data<b data-path-to-node=\"32\" data-index-in-node=\"106\">Can be used directly for algorithm training<\/b>, without the need for additional domain adaptation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fba0db7 elementor-widget elementor-widget-heading\" data-id=\"fba0db7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-small\">04 Conclusion<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f578c1e elementor-widget elementor-widget-text-editor\" data-id=\"f578c1e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"35\">Discrepancies between simulated environments and real-world road conditions have long hindered the iterative development and deployment of autonomous driving algorithms in actual vehicles. The hybrid rendering approach offers a practical solution\u2014<b data-path-to-node=\"35\" data-index-in-node=\"58\">Neural reconstruction preserves realism, while traditional graphics techniques preserve controllability.<\/b>, addressing the two core requirements of realistic scene reproduction and flexible scene editing, while striking the perfect balance between realistic image quality and editing freedom.<\/p><p data-path-to-node=\"36\">The core value of this solution lies in its application of existing technology to<b data-path-to-node=\"36\" data-index-in-node=\"19\">Highly Efficient Engineering Integration<\/b>, effectively addressing practical engineering challenges:<\/p><ul data-path-to-node=\"37\"><li><p data-path-to-node=\"37,0,0\"><b data-path-to-node=\"37,0,0\" data-index-in-node=\"0\">For Algorithm Engineers<\/b>: Acquire large-scale, high-fidelity, and accurately labeled training data at a lower cost;<\/p><\/li><li><p data-path-to-node=\"37,1,0\"><b data-path-to-node=\"37,1,0\" data-index-in-node=\"0\">To the Test and Validation Team<\/b>: Can reproduce various corner cases in a simulation environment to detect potential issues early on;<\/p><\/li><li><p data-path-to-node=\"37,2,0\"><b data-path-to-node=\"37,2,0\" data-index-in-node=\"0\">For Project Decision-Makers<\/b>: Reduce reliance on expensive real-world vehicle test data and significantly accelerate the product iteration cycle.<\/p><\/li><\/ul><p data-path-to-node=\"38\">Essentially, this is a method for generating simulation data<b data-path-to-node=\"38\" data-index-in-node=\"13\">Truly bring the project to fruition<\/b>feasible approaches.<\/p><p data-path-to-node=\"39\">Hongke has long been dedicated to the engineering applications of hybrid rendering technology.<b data-path-to-node=\"39\" data-index-in-node=\"20\">aiSim simulation platform<\/b>Deeply integrating AI rendering technologies such as 3DGS Splash and NeRF, it provides a physically accurate, high-fidelity, and deterministic simulation environment. By combining core capabilities such as high-fidelity scene generation, a library of physically accurate sensor models, and SDG\/scene generalization, Kangmou offers<b data-path-to-node=\"39\" data-index-in-node=\"116\">A full-process solution ranging from scene construction and synthetic data generation to hardware-in-the-loop (HIL) testing<\/b>, and is fully committed to enabling the practical application of autonomous driving and robotics technologies.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-45ed7c8 elementor-widget elementor-widget-button\" data-id=\"45ed7c8\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/aiportek.com\/adas-simulator-aisim\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Go to aiSim Product Page<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-9049411 e-flex e-con-boxed e-con e-parent\" data-id=\"9049411\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cfcf4de e-flex e-con-boxed e-con e-parent\" data-id=\"cfcf4de\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dbc1b58 elementor-widget elementor-widget-heading\" data-id=\"dbc1b58\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Other Articles<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74adc8f elementor-posts--align-left elementor-grid-3 elementor-grid-tablet-2 elementor-grid-mobile-1 elementor-posts--thumbnail-top elementor-card-shadow-yes elementor-posts__hover-gradient elementor-widget elementor-widget-posts\" data-id=\"74adc8f\" data-element_type=\"widget\" data-settings=\"{&quot;cards_row_gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:100,&quot;sizes&quot;:[]},&quot;cards_columns&quot;:&quot;3&quot;,&quot;cards_columns_tablet&quot;:&quot;2&quot;,&quot;cards_columns_mobile&quot;:&quot;1&quot;,&quot;cards_row_gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;cards_row_gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"posts.cards\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-posts-container elementor-posts elementor-posts--skin-cards elementor-grid\" role=\"list\">\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-37647 post type-post status-publish format-standard has-post-thumbnail hentry category-18 tag-elpro tag-45\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/aiportek.com\/en\/elpro-libero-cl-solutions\/\" tabindex=\"-1\" target=\"_blank\"><div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"770\" height=\"546\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2025\/04\/elpro\u5b9e\u9a8c\u5ba4\u4eba\u5458.png\" class=\"attachment-full size-full wp-image-23948\" alt=\"\u8679\u79d1 ELPRO \u91ab\u85e5\u51b7\u93c8\u5be6\u9a57\u5ba4\u6280\u8853\u4eba\u54e1\u64cd\u4f5c LIBERO \u7cfb\u5217\u6eab\u6fd5\u5ea6\u8a18\u9304\u5100\u8207\u76e3\u6e2c\u8a2d\u5099\u3002\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2025\/04\/elpro\u5b9e\u9a8c\u5ba4\u4eba\u5458.png 770w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/04\/elpro\u5b9e\u9a8c\u5ba4\u4eba\u5458-300x213.png 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/04\/elpro\u5b9e\u9a8c\u5ba4\u4eba\u5458-768x545.png 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/04\/elpro\u5b9e\u9a8c\u5ba4\u4eba\u5458-18x12.png 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/04\/elpro\u5b9e\u9a8c\u5ba4\u4eba\u5458-600x425.png 600w\" sizes=\"(max-width: 770px) 100vw, 770px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Hongke Case<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/aiportek.com\/en\/elpro-libero-cl-solutions\/\" target=\"&quot;_blank&quot;\">\n\t\t\t\t[Hongke Case Study] ELPRO LIBERO Series Temperature Loggers\u2014Ensuring the Safety of High-Value Biopharmaceuticals\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>High-value novel biopharmaceuticals have extremely stringent cold chain temperature control requirements; even the slightest temperature deviation can result in losses of tens of millions of yuan and pose compliance risks. Using the example of a major domestic pharmaceutical group\u2019s implementation of Hongke\u2019s ELPRO LIBERO series temperature loggers, this article provides an in-depth analysis of how the system achieves zero-incident temperature control throughout the entire process (2\u00b0C to 8\u00b0C) and dual compliance with GSP and international standards through the automatic generation of tamper-proof PDF reports, SmartStart batch configuration, and standardized SOP services.<\/p>\n\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/aiportek.com\/en\/elpro-libero-cl-solutions\/\" aria-label=\"Read more about [Hongke Case Study] ELPRO LIBERO Series Temperature Loggers\u2014Ensuring the Safety of High-Value Biopharmaceuticals\" tabindex=\"-1\" target=\"_blank\">\n\t\t\tRead more\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-author\">\n\t\t\tHongKeTechnology\t\t<\/span>\n\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tOctober 2, 2026\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-37616 post type-post status-publish format-standard has-post-thumbnail hentry category-12 tag-aimotive tag-80\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/aiportek.com\/en\/aidata-auto-annotator-adas-3d-data-annotation-solution\/\" tabindex=\"-1\" target=\"_blank\"><div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1463\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-scaled.jpg\" class=\"attachment-full size-full wp-image-15705\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-scaled.jpg 2560w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-scaled-600x343.jpg 600w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-300x171.jpg 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-1024x585.jpg 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-768x439.jpg 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-1536x878.jpg 1536w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-2048x1170.jpg 2048w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-18x10.jpg 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Hongke Dry Goods<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/aiportek.com\/en\/aidata-auto-annotator-adas-3d-data-annotation-solution\/\" target=\"&quot;_blank&quot;\">\n\t\t\t\t[Hongke Solutions] Say Goodbye to Expensive Manual Annotation! aiData 4D Automatic Annotation Technology Enables a Closed-Loop ADAS Data System\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>In the development of ADAS and autonomous driving, the high cost and lengthy cycle of manual annotation severely hinder algorithm iteration. Hongke\u2019s aiData Auto Annotator solution (developed by aiMotive) utilizes 4D environmental models and neural computing technology to achieve fully automated, high-precision annotation of dynamic 3D bounding boxes and static lane markings. Its annotation accuracy exceeds the human benchmark and can reduce annotation costs by more than 90%, providing an efficient and scalable closed-loop data system for autonomous driving R&amp;D.<\/p>\n\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/aiportek.com\/en\/aidata-auto-annotator-adas-3d-data-annotation-solution\/\" aria-label=\"Read more about [Hongke Solutions]: Say Goodbye to Expensive Manual Annotation! aiData 4D Automatic Annotation Technology Enables a Closed-Loop ADAS Data System\" tabindex=\"-1\" target=\"_blank\">\n\t\t\tRead more\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-author\">\n\t\t\tHongKeTechnology\t\t<\/span>\n\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tSeptember 29, 2026\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-29181 post type-post status-publish format-standard has-post-thumbnail hentry category-18 tag-vuzix tag-42\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/aiportek.com\/en\/vuzix-waveguide-technology-hk-case\/\" tabindex=\"-1\" target=\"_blank\"><div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"670\" height=\"322\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630.png\" class=\"attachment-full size-full wp-image-29183\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630.png 670w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630-300x144.png 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630-18x9.png 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630-600x288.png 600w\" sizes=\"(max-width: 670px) 100vw, 670px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Hongke Case<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/aiportek.com\/en\/vuzix-waveguide-technology-hk-case\/\" target=\"&quot;_blank&quot;\">\n\t\t\t\t[Hongke Solutions] Vuzix Light Guide Technology: Advantages and Core Series Specifications Explained\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>Together with Vuzix, Avision provides 20\u00b0-40\u00b0 FOV customization, Incognito\u2122 invisible display, Lightbank\u2122 light engine, and giant format waveguide with ultra-thin, full-color, transparent waveguide and proprietary process for B2B applications such as automotive, medical, corporate training, and national defense.<\/p>\n\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/aiportek.com\/en\/vuzix-waveguide-technology-hk-case\/\" aria-label=\"Read more about [Hongke Solutions] Vuzix Light Guide Technology: Advantages and Core Series Specifications\" tabindex=\"-1\" target=\"_blank\">\n\t\t\tRead more\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-author\">\n\t\t\tHongKeTechnology\t\t<\/span>\n\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tOctober 21, 2025\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t<div class=\"e-load-more-anchor\" data-page=\"1\" data-max-page=\"40\" data-next-page=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36672\/page\/2\/\"><\/div>\n\t\t\t\t<nav class=\"elementor-pagination\" aria-label=\"Pagination\">\n\t\t\t<span class=\"page-numbers prev\">\"<\/span>\n<span aria-current=\"page\" class=\"page-numbers current\"><span class=\"elementor-screen-only\">Page<\/span>1<\/span>\n<a class=\"page-numbers\" href=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36672\/page\/2\/\"><span class=\"elementor-screen-only\">Page<\/span>2<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36672\/page\/3\/\"><span class=\"elementor-screen-only\">Page<\/span>3<\/a>\n<span class=\"page-numbers dots\">...<\/span>\n<a class=\"page-numbers\" href=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36672\/page\/5\/\"><span class=\"elementor-screen-only\">Page<\/span>5<\/a>\n<a class=\"page-numbers next\" href=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36672\/page\/2\/\">\"<\/a>\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Hongke has launched an autonomous driving simulation hybrid rendering solution that combines the real-time splash rendering capabilities of 3DGS with the reconstruction advantages of NeRF. It supports multi-modal data output from cameras and LiDAR, as well as HIL (Hardware-in-the-Loop) testing, effectively addressing the challenges of domain offset and scene fixation.<\/p>","protected":false},"author":1,"featured_media":36673,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[18],"tags":[65,64],"class_list":["post-36672","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-18","tag-aimotive","tag-64"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36672","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/comments?post=36672"}],"version-history":[{"count":4,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36672\/revisions"}],"predecessor-version":[{"id":36683,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36672\/revisions\/36683"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/media\/36673"}],"wp:attachment":[{"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/media?parent=36672"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/categories?post=36672"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/tags?post=36672"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}