Abstract
Abstract: The process of obstacle detection involves the identification of obstacles that lie ahead in the route, Intel RealSense camera has been a prominent solution for identifying real-time applications in recent years. Autonomous Unmanned Ground Vehicle(UGVs) face a difficult time in detecting obstacles because of stationary objects, moving objects and adverse weather conditions. We need to get an accurate distance between the UGVs and obstacles, So Intel RealSense cameras use stereo vision to calculate the depth data. Based on D415, D435 and D455 Intel RealSense depth sensors, we have examined and compared various obstacle detection methods.
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