HONGKE launched a dual-mode simulation solution for autonomous driving, combining the aiSim physics engine and 3DGS/NeRF technology to realize physical-level sensor modeling and high-fidelity scene reconstruction, solving the difficult problem of end-to-end closed-loop testing for smart driving.
HONGKEI's high-fidelity HIL (Hardware-in-the-Loop) simulation solution is based on the aiSim simulation platform, which supports L3/L4 autonomous driving test, multi-sensor simulation, and SiL/MiL/HiL verification, providing a high-confidence intelligent driving test environment for OEMs, Tier1s, and autonomous driving technology enterprises.
SimData is a high-fidelity virtual sensing dataset generated by aiSim simulation platform, which supports Camera, LiDAR, Radar, and IMU multi-sensor synchronization data, and the structure is fully aligned with nuScenes, which can be directly used for parsing and model training with nuscenes-devkit.
By combining 3D Gaussian Splatting technology with NeRF, LiDAR and GGSR renderers, HONGKE aiSim 3DGS solution builds a closed loop from data standardization to simulation validation, realizing high-fidelity scene reconstruction and digital mapping, and helping to accurately test and optimize the automated driving system under extreme working conditions.
How can autonomous driving R&D crack the challenge of cross-border data compliance? Learn how Hongke Brighter AI's anonymization technology meets GDPR and PIPL requirements, preserves data value while protecting privacy, and facilitates AI training and global compliance.
