Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to pe…
camera radar lidar sensor-fusion udacity-nanodegree kalman sensorfusionnanodegree udacitysensorfusionnanodegree
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Updated
Jul 2, 2020 - C++