Automated Driving System Toolbox enables designing and testing of ADAS and autonomous driving systems

The Autonomous Driving System Toolbox provide algorithms and tools for designing and testing advanced driver assistance systems (ADAS) and autonomous driving systems.

Content Dam Vsd En Articles 2017 05 Automated Driving System Toolbox Enables Designing And Testing Of Adas And Autonomous Driving Systems Leftcolumn Article Headerimage File

The Autonomous Driving System Toolbox provide algorithms and tools for designing and testing advanced driver assistance systems (ADAS) and autonomous driving systems. Among the toolbox’s features are a ground-truth labeling workflow app to automate labeling, tools to compare simulation output with ground truth, sensor fusion and tracking algorithms (including Kalman filters), multi-object tracking framework, detection-track assignment, and motion models. Additionally, the toolbox enables driving scenario generation, sensor simulation for camera and radar, computer vision algorithms (including lane detection and classification, vehicle detection, and image-vehicle coordinate transforms), as well as visualizations and C-code generation for sensor fusion and tracking algorithms with MATLAB Coder.

To Learn More:

Contact: MathWorks
Headquarters
: Natick, MA, USA
Product:
Autonomous Driving System
Key Features:
Ground-truth labeling workflow app, sensor fusion and tracking algorithms, visualization and driving scenario generation, algorithms for detection and tracking.

What MathWorks says:
View more information on the toolbox.

View More Products| Locate a vendor or system integrator | Receive e-mail updates

Share new products that you think are particularly interesting or helpful by contacting James Carroll, Senior Web Editor, Vision Systems Design.

Join our LinkedIn group | Like us on Facebook | Follow us on Twitter

Learn more: search the Vision Systems Design Buyer's Guide for companies, new products, press releases, and videos

More in Boards & Software