BOOKS - PROGRAMMING - MATLAB Automated Driving Toolbox User’s Guide (R2021a)
US $5.56
104188
104188
MATLAB Automated Driving Toolbox User’s Guide (R2021a)
Author: MathWorks
Year: 2021
Number of pages: 1382
Format: PDF
File size: 41,2 MB
Language: ENG
Year: 2021
Number of pages: 1382
Format: PDF
File size: 41,2 MB
Language: ENG
Automated Driving Toolbox™ provides algorithms and tools for designing, simulating, and testing ADAS and autonomous driving systems. You can design and test vision and lidar perception systems, as well as sensor fusion, path planning, and vehicle controllers. Visualization tools include a bird’s-eye-view plot and scope for sensor coverage, detections and tracks, and displays for video, lidar, and maps. The toolbox lets you import and work with HERE HD Live Map data and OpenDRIVE® road networks.Using the Ground Truth Labeler app, you can automate the labeling of ground truth to train and evaluate perception algorithms. For hardware-in-the-loop (HIL) testing and desktop simulation of perception, sensor fusion, path planning, and control logic, you can generate and simulate driving scenarios. You can simulate camera, radar, and lidar sensor output in a photorealistic 3D environment and sensor detections of objects and lane boundaries in a 2.5D simulation environment.