3D lidar reconstruction with probabilistic depth completion for robotic navigation

Safe motion planning in robotics requires planning into space which has been verified to be free of obstacles. However, obtaining such environment representations using lidars is challenging by virtue of the sparsity of their depth measurements. We present a learning-aided 3D lidar reconstruction fr...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Tao, YT, Popović, M, Wang, Y, Digumarti, ST, Chebrolu, N, Fallon, M
Format: Conference item
Język:English
Wydane: IEEE 2022