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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