Develop and Test Vehicle Controllers for ADAS and Automated Driving Applications through System Simulation
When developing and testing sensor fusion algorithms and vehicle controllers for ADAS and automated driving applications, engineers need to consider the complex interplay between multiple sensors and dynamics of the vehicle, while the vehicle operates in a wide variety of scenarios, many of which may not have been available in recorded data during development. With multidomain system modeling and simulation-based testing in MATLAB® and Simulink®, you can close the loop in simulation, thus accelerating the development process and reducing costly and hazardous in-vehicle testing.
In this talk, you will learn how to:
- Design model predictive control-based vehicle controllers
- Create synthetic scenarios and test sensor fusion and control algorithms using system simulation
- Improve simulation fidelity with gaming engine integration, vehicle dynamics modeling, and automated scenario creation from recorded data
Recorded: 27 Jun 2019
Featured Product
Control System Toolbox
您也可以从以下列表中选择网站:
如何获得最佳网站性能
选择中国网站(中文或英文)以获得最佳网站性能。其他 MathWorks 国家/地区网站并未针对您所在位置的访问进行优化。
美洲
- América Latina (Español)
- Canada (English)
- United States (English)
欧洲
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
亚太
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)