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Perception with Computer Vision and Lidar

Object and lane boundary detections using machine learning and deep learning, lidar processing

Automated Driving Toolbox™ perception algorithms use data from cameras and lidar scans to detect and track objects of interest in a driving scenario. These algorithms are tailored to ADAS and autonomous driving applications, such as automatic braking and steering. Detect vehicles, pedestrians, and lane markers through detectors that are pretrained using deep learning and traditional machine learning techniques. You can also train custom detectors.

  • Visual Perception
    Lane boundary, pedestrian, vehicle, and other object detections using machine learning and deep learning
  • Lidar Processing
    Velodyne® file import, segmentation, downsampling, transformations, visualization, and 3-D point cloud registration from lidar

Featured Examples