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.
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.
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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:
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