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detection and tracking -凯发k8网页登录

camera sensor configuration, visual perception, lidar processing, tracking and sensor fusion

automated driving toolbox™ perception algorithms use data from cameras and lidar scans to detect and track objects of interest and locate them in a driving scenario. these algorithms are ideal for adas and autonomous driving applications, such as automatic braking and steering.

categories


  • monocular camera sensor calibration, image-to-vehicle coordinate system transforms, bird’s-eye-view image transforms

  • lane boundary, pedestrian, vehicle, and other object detections using machine learning and deep learning

  • velodyne® file import, segmentation, downsampling, transformations, visualization, and 3-d point cloud registration from lidar

  • object tracking and multisensor fusion, bird’s-eye plot of detections and object tracks
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