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ADTF
--Comprehensive software framework for the development of Advanced Driver Assistance Systems (ADAS) and automated driving systems.
Functions
Total Solutions
ADTF provides a comprehensive development solution for ADAS and autonomous driving systems, including key features such as rapid prototyping, simulation, data logging and verification.
Modular Architecture
ADTF utilizes a modular architecture that enables developers to easily integrate and reuse software components while supporting plug-and-play software for a variety of hardware configurations.
Data logging and playback
ADTF can record various data streams, including sensor data and communication data, for subsequent data analysis and playback, which helps system validation and improvement.
Environment Sensing and Vehicle State Estimation
ADTF is an important tool for developing ADAS functions, as it has the ability to process various sensor data to realize accurate environment sensing and vehicle state estimation.
Real-time monitoring and analysis
ADTF provides powerful real-time monitoring, analysis and logging functions to help developers evaluate system performance and debug algorithms to ensure system reliability and stability.
Rapid Prototyping
ADTF enables developers to rapidly prototype and test ADAS functionality, accelerating the development cycle and enabling more efficient stacking from concept to real-world applications.
Standardized Support
ADTF supports various automotive standards such as CAN, CAN FD, FlexRay, XCP, Some/IP, Automotive Ethernet/AUTOSAR, etc. to ensure interoperability with automotive electronic systems.
Expandability
ADTF is highly scalable, developers can add new function modules and algorithms according to specific needs, so that it can adapt to the ever-changing development requirements.
Multi-platform support
ADTF can run on different platforms, including x64 and ARM64, and supports multiple operating systems, such as Linux and Windows, making it more flexible.
ADTF framework
Recommended Software Version ≥ ADTF3.14.0
ADTF Software Features
- Combination of tools used and adtfplugins (headless, UI)
- Live, playback (real-time or faster) or recording mode (number of streams, multiple recorders, etc.)
- Use ADTF Launcher standalone, with third-party tools or multiple instances/distributed setups
- Bare metal, desktop, docker, cloud or virtual image
Combining, Summing and Nesting of Components in adtfgraph
Counting and nesting of data structures in loaded meta (xml) files - Data size, volume and rate of sample processing
- Please find the number of sub-streams for processing and decoding
- Single or multi-threaded playback
- CPU/Core/Thread Association Dependencies
- Device latency, available queues and buffers
- Read/write I/O traffic
- GPUs for UI Algorithms and Operations
hardware requirement
- Hardware settings that support dependencies on the required software to be installed
- At least one single-core processor or 1GHz SoC
- At least 2GB RAM for basic usage tools and basic non-nested graphics containing standard components in basic delivery
Display
- Display using Full HD (recommended resolution)
Supported platforms (recommended)
- Support platforms:Support for other distributions (e.g. Fedora, Debian)
The reference hardware is an nVidia Jetson TX2 board (compatible with e.g. nVidia Drive PX 2 or Jetson AGX XAVIER)
- Request:
1. gcc≥ 7
2. libc ≥ 2.27
3. libstdc++ ≥ 6.0.25
4. CMake ≥ 3.23.2
5. build-essential libarchive-dev
mesa-common-dev mesa-utils
libglib2.0-0
- Available disk space for ADTF delivery package:4GB
- Support platforms:Support for other distributions (e.g. Fedora, Debian)
- Request:
1. gcc ≥ 7
2. libc ≥ 2.27
3. libstdc++ ≥ 6.0.25
4. CMake ≥ 3.23.2
5. build-essential libarchive-dev
mesa-common-dev mesa-utils
libglib2.0-0 libxcb-xinerama0
xterm
- Available disk space for ADTF delivery package: 6GB
- Support platforms:Support for other distributions (e.g.
Fedora, Debian)
Reference hardware is nVidia Jetson TX2
Board (compatible with e.g. nVidia Drive PX 2)
or Jetson AGX XAVIER)
- Request:1. gcc≥ 7
2. libc ≥ 2.27
3. libstdc++ ≥ 6.0.25
4. CMake ≥ 3.23.2
5. build-essential libarchive-dev
mesa-common-dev mesa-utils
libglib2.0-0
- Free disk space for ADTF delivery package
Between:4GB
System Development Applications
Rapid Modeling
ADTF develops a system for visualizing sensor and camera data. The system connects and visualizes camera data, signals and commissioning information through the ADTF functionality. Developers can use the system to validate the development of ADAS/AD functions.
For example, use the 2D and 3D visualization capabilities provided by the ADTF to see the reliability of the lane detection algorithm or the passenger recognition function.
Data Logging
Supporting Original Equipment Manufacturer (OEM) measurement technology development utilizes the ADTF as the central unit, integrating and extending tools to easily access, decode, process, and visualize sensor data, bus data, and commissioning interfaces to record raw data streams for subsequent offline analysis and experimental reproduction.
simulation
ADTF software supports the integration and testing of AUTOSAR software components. The AUTOSAR Assist Tool was developed to provide a solution for testing AUTOSAR software components. These components can be accessed and tested directly via ADTF without the need for complex residual bus simulations.
Reprocessing
Enables highly scalable data validation. The framework links different tools or builds data streams for data analysis and validation. Provides a rich set of applications, services and interfaces to adapt to different data processing needs and run efficiently on on-board resources.
ancillary service
Frequently Asked Questions
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Professional Technical Services
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