3D Object Detection using point cloud data from LiDAR, Radar and Camera sensors

Autonomous cars and cars equipped with ADAS (Advanced Driver Assistance System) come with a host of sensors like; camera, radar, lidar, ultrasonic and more to sense their surroundings and make the right decision.

These multiple sensors of one type (radar/Lidar/camera) are used it puts forth various challenges-

• Overlapping regions in the field of view
• Dense point cloud for a single object in the field of view

Overlapping region correction can be rectified with narrowing the field of view or modifying the position of the sensor. However, for dense point cloud-specific algorithms for point cloud processing needs to be processed.

This case study explains in brief how 3D object detection for autonomous machines can be achieved by means of point cloud processing

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