Automated Driving Toolbox
Design, simulate, and test ADAS and autonomous driving systems
Cuboid Driving Simulation
Generate synthetic detections from radar and camera sensor models, and incorporate those detections into driving scenarios to test automated driving algorithms with a cuboid-based simulator. Define road networks, actors, and sensors using the Driving Scenario Designer app. Import prebuilt Euro NCAP tests and OpenDRIVE road networks.
Unreal Engine Driving Scenario Simulation
Develop, test, and visualize the performance of driving algorithms in a 3D simulated environment rendered using the Unreal Engine® from Epic Games®.
Automating Ground Truth Labeling
Use the Ground Truth Labeler app for interactive and automated ground truth labeling to facilitate object detection, semantic segmentation, and scene classification.
Testing Perception Algorithms
Evaluate the performance of perception algorithms by comparing ground truth data against algorithm outputs.
Vision System Design
Develop computer vision algorithms for vehicle and pedestrian detection, lane detection, and classification.
Use lidar data to detect obstacles and segment ground planes.
Accessing HERE HD Live Map Data
Read map data from the HERE HD Live Map web service, including tiled map layers that contain detailed road, lane, and localization information.
Visualizing Map Data
Using streaming coordinates to map the positions of vehicles as they drive.