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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 perceive the world around a vehicle and track objects over time.
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The trainer for this Become a Sensor Fusion Engineer Training has extensive experience in this domain, including years of experience training & mentoring professionals.
Combine and filter lidar, radar, and camera data to detect and track vehicles and pedestrians.