Any autonomous rover will need to know what objects lie in its path while exploring the Egyptian catacombs. While the LiDAR can help identify objects, it can only “see” objects at the level of its LiDAR sweep. The rover misses detecting any object lower than the LiDAR sweep. It also misses any object that hangs from the ceiling that does not bisect the LiDAR sweep. We need a more robust system, called computer vision. Unfortunately, it is more computationally expensive. Computer vision mimics the way humans detect objects. Our rover needs the ability to extract information from images and recognize objects by their patterns and features. The rover must process pixels and colors to determine edges, helping it traverse the environment and avoid obstacles.
OpenCV and Perception
Intelligent Autonomous Drones with Cognitive Deep Learning ; Chapter : 8 ; 327-361
2022-11-01
35 pages
Article/Chapter (Book)
Electronic Resource
English
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