A Framework for Real-time Generation of Multi-directional Traversability Maps in Unstructured Environments-Reference-Cited by-同舟云学术

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A Framework for Real-time Generation of Multi-directional Traversability Maps in Unstructured Environments

Published:2024-05-13 Issue: Volume: Page:18370-18376
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Huang Tao¹,Wang Gang¹,Liu Hongliang¹,Luo Jun¹,Wu Lang¹,Zhu Tao²,Pu Huayan¹,Luo Jun¹,Wang Shuxin³

Affiliation:

1. Chongqing University,State Key Laboratory of Mechanical Transmission for Advanced Equipments, College of Mechanical and Vehicle Engineering,Chongqing,China,400044

2. Chongqing University,Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education,Chongqing,China,400044

3. Chongqing University,State Key Laboratory of Mechanical Transmission for Advanced Equipments,Chongqing,China,400044

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610312.pdf?arnumber=10610312

Reference34 articles.

1. CERBERUS in the DARPA Subterranean Challenge

2. Autonomy and Perception for Space Mining

3. NOAH-H, a deep-learning, terrain classification system for Mars: Results for the ExoMars Rover candidate landing sites

4. A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges

5. How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability

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