Title of article :
Terrain-aided localization of autonomous ground vehicles
Author/Authors :
Madhavan، نويسنده , , R. and Durrant-Whyte، نويسنده , , H.F.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Pages :
18
From page :
83
To page :
100
Abstract :
The development of a terrain-aided localization framework for autonomous ground vehicles (AGV) operating at high speeds in unstructured, expansive and harsh environments is the subject of this article. The localization framework developed is sufficiently generic to be used on a variety of other autonomous ground vehicles and is demonstrated by its implementation using field data collected from two different trials on two different vehicles. The results demonstrate the robustness of the proposed localization framework in producing reliable and accurate position estimates for autonomous vehicles operating in a variety of unstructured domains.
Keywords :
map building , Iterative closest point , Extended Kalman Filter , Bayes Theorem , entropy , scale space , Outdoor localization
Journal title :
Automation in Construction
Serial Year :
2004
Journal title :
Automation in Construction
Record number :
1337394
Link To Document :
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