Mind the gap: detection and traversability analysis of terrain gaps using LIDAR for safe robot navigation
type: Dataset
description: International audience
issued: 2026-05-11T01:16:58.204267
language: en
modified: 2026-05-11T01:16:58.204272
contact point: Organization
  fn: CCSD
keyword: computer-vision
keyword: infoeu-reposemanticsarticle
keyword: infoinfo-rbcomputer-science-csrobotics-csro
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: journal-articles
keyword: man-machine-systems
keyword: mobile-robots
keyword: motion-planning
keyword: navigation
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
landing page: 0263-5747

Mind the gap: detection and traversability analysis of terrain gaps using LIDAR for safe robot navigation
type: Distribution
format: HTML
issued: 2026-05-11T01:16:58.218689
modified: 2026-05-11T01:16:58.191807
access URL: https://inria.hal.science/hal-00825184

test_moissonnage_selune
type: Agent