Aerial-Ground Collaborative Continuous Risk Mapping for Autonomous Driving of Unmanned Ground Vehicle in Off-Road Environments

Terrain risk estimation has always been a crucial but challenging task for autonomous driving of unmanned ground vehicles (UGV) in off-road environments. The map with dense and accurate risk information can help UGV avoid special obstacles such as steep slopes, pits, and ditches while path planning....

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2023-12, Vol.59 (6), p.9026-9041
Hauptverfasser:	Wang, Rongchuan, Wang, Kai, Song, Wenjie, Fu, Mengyin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autonomous aerial vehicles Collaboration Collaborative mapping Ditches Estimation Feature extraction information fusion Mapping Matching multirobot system Path planning Point cloud compression Risk Roads Robot sensing systems Terrain terrain risk estimation Three-dimensional displays Unmanned aerial vehicles Unmanned ground vehicles
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