Exploring the effectiveness of naive spatio-temporal exploits for depth completion
With an increasing need for usable depth for autonomous navigation systems such as self-driving cars, depth completion is becoming an increasingly studied subject. RGB data provide much-needed aid in providing good recreation of dense depth maps from sparse LiDAR output. Yet, these data are also pro...
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| Online Access: | http://hdl.handle.net/2047/D20398280 |