Design, and Simulate Tomorrow’s Automated Driving
Automated Driving is a driving technology that can percept the surrounding environment and move without any human intervention.
MATLAB and Simulink enable automotive engineering organizations to accelerate vehicle development processes and to deliver vehicles that meet market requirements for safety, comfort, fuel economy, and performance.
Automotive engineers use MATLAB and Simulink to:
- Run simulations to evaluate trade-offs and optimize designs
- Develop and test perception, planning, and control algorithms
- Validate requirements early through rapid prototyping
- Generate code for prototyping or production, in floating or fixed-point, for MCUs, GPUs, SoCs and FPGA devices
- Analyze test fleet and production vehicle data
- Comply with AUTOSAR and ISO 26262 standards
Automated Driving and Advanced Driving Assistance Systems (ADAS)
Use MATLAB and Simulink to accelerate the development of automated driving functions including perception, planning, and control functions.
Run simulations in Simulink to test, integrate, and tune these functions using programmatically generated scenes and maximize test coverage across various road, traffic, and environmental conditions without expensive prototype vehicles.
With MATLAB and Simulink, you can:
- Develop perception systems by predeveloped algorithms, sensor models and apps for computer vision, lidar, radar processing and sensor fusion.
- Design control systems and model vehicle dynamics in a 3D environment by using fully unified reference apps.
- Test and verify systems by using synthetic sensor models and writing driving scenarios.
- Use specific images for autonomous driving.
- Plan driving routes by designing and using vehicle cost maps and movement planning algorithms.
- Reduce the necessary engineering efforts to comply with ISO 26262.
- Generate autonomous C codes for rapid prototyping and HIL test by using code generation products.
