May 13, 2023 · We present the Semantic Pointcloud Filter (SPF), a Convolutional Neural Network (CNN) that learns to adjust LiDAR measurements to align with the underlying ...
Oct 12, 2023 · Our method can correctly adjust the support surface prior to interacting with the terrain and is extensively tested on the quadruped robot ...
May 13, 2023 · Mobile ground robots require perceiving and understanding their surrounding support surface to move around autonomously and safely.
Duration: 4:11
Posted: Jun 4, 2024
Posted: Jun 4, 2024
Seeing Through the Grass: · Semantic Pointcloud Filter for Support Surface Learning · Preview Experiments · Downstream Applications.
We show the qualitative benefts of SPF in natural environments for elevation mapping and traversability estimation compared to using raw sensor measurements and ...
May 13, 2023 · The semantic pointcloud filter (SPF) is presented, a convolutional neural network that learns to adjust LiDAR measurements to align with the ...
Seeing Through the Grass: Semantic Pointcloud Filter for Support Surface Learning. A Li, C Yang, J Frey, J Lee, C Cadena, M Hutter. arXiv preprint arXiv ...
Seeing through the grass: Semantic pointcloud filter for support surface learning. A Li, C Yang, J Frey, J Lee, C Cadena, M Hutter. IEEE Robotics and ...
A new ultra-large-scale ground filtering dataset is published. •. Attractive advantages of deep learning in ground filtering are evaluated.