Automated Driving Toolbox provides algorithms and tools for designing, simulating, and testing ADAS and automated driving features. These ADAS features include forward collision warning, autonomous emergency braking, adaptive cruise control, lane keeping assist, and parking valet.
The toolbox integrates scenarios, sensors, and vehicle dynamics for validating ADAS algorithms for model-in-the-loop (MIL), software-in-the-loop (SIL), and hardware-in-the-loop (HIL) simulations. You can programmatically author and simulate scenarios in Cuboid and RoadRunner environments. It offers visualization tools, such as bird's-eye-view plots, video, lidar, and map displays, and connects with Unreal Engine®.
The Test Suite for Euro NCAP® Protocols add-on supports standards-based testing by providing scenarios, metrics, and reports. The Scenario Builder add-on enables you to recreate real-world driving conditions from recorded sensor data, including camera, lidar, Global Positioning Systems (GPS), and Inertial Measurement Units (IMU).
Reference Applications
Reference applications form a basis for designing and testing ADAS applications.
Product Highlights
Scenario Simulation
Simulation using realistic driving scenarios and sensor models is a crucial part of testing automated driving algorithms. Automated Driving Toolbox provides various options such as cuboid simulation environment, Unreal engine simulation environment, and integration with RoadRunner Scenario to test these algorithms. This application supports import and export of scenes and scenarios to ASAM OpenDRIVE and ASAM OpenSCENARIO® formats.
Generate Scenes and Scenarios from Recorded Sensor Data
Create virtual driving scenarios from vehicle data recorded using various sensors, such as a global positioning system (GPS), inertial measurement unit (IMU), camera, and lidar. Use raw sensor data, recorded actor track lists, or lane detections.
Test Suite for Euro NCAP Protocols
Automatically generate seed scenario and its variants for the assessment of various Euro NCAP protocols. Visualize the generated variants or export them to the ASAM OpenSCENARIO® file format. Using Test Bench, run simulations and get Euro NCAP Test Metrics.
Planning and Control
Plan driving paths with vehicle costmaps and motion-planning algorithms. Use lateral and longitudinal controllers to follow a planned trajectory.
Detection, Tracking, and Ground Truth Labeling
Develop and test vision and lidar processing algorithms for automated driving. Perform multi-sensor fusion and multi-object tracking framework with Kalman. Automate labeling of ground truth data and compare output from an algorithm under test. Using Ground Truth Labeler app, label multiple signals like videos, image sequences, and lidar signals representing the same scene.
Localization and Mapping
Use simultaneous localization and mapping (SLAM) algorithms to build maps surrounding the ego vehicle based on visual or lidar data. Access and visualize high-definition map data from the HERE HD Live Map service. Display vehicle and object locations on streaming map viewers.
