Vision/Odometer Autonomous Navigation Based on RatSLAM for Land Vehicles

DOI

10.2991/ameii-15.2015.129How to use a DOI?

Keywords

autonomous navigation; RatSLAM; computer vision; odometer.

Abstract

This paper discusses the design of computer vision and odometer integrated autonomous navigation algorithm based on RatSLAM system for land vehicles. The research aims at testing the effectiveness of a vision/odometer bio-inspired navigation approach for land vehicle applications. Images and odometer measurements are inputted into the RatSLAM system. Odometer data can be used to improve the robustness of RatSLAM system significantly. The proposed system has been verified on real vision/odometer data collected in land vehicle tests. Campus round road experiments illustrate that the algorithm is effective and robust.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaofeng He
AU  - Lilian Zhang
AU  - Junxiang Lian
AU  - Xiaoping Hu
PY  - 2015/04
DA  - 2015/04
TI  - Vision/Odometer Autonomous Navigation Based on RatSLAM for Land Vehicles
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 695
EP  - 699
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.129
DO  - 10.2991/ameii-15.2015.129
ID  - He2015/04
ER  -