Stereo Vision Based Localization Method for Intelligent Vehicle

Abstract:

In order to overcome the accumulated error in traditional localization methods for intelligent vehicle such as dead reckoning and visual odometry, a simultaneous localization and mapping(SLAM) algorithm based on stereo vision was presented in the paper. Firstly, the interrelated elements in the localization method were defined, and the probability model for intelligent vehicle localization was proposed, then the motion and observation model were established, and the detailed implementation of the introduced localization algorithm was given. Finally, an experiment was designed to confirm the effectiveness of the proposed method. Experimental results indicate that the algorithm can realize three-dimensional motion estimation of intelligent vehicle and can improve the positioning precision effectively.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 1931-1936
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.1931
• Online since: May 2013
• Authors: Feng Ping Cao, Rong Ben Wang, Liang Xiu Zhang
• Keywords: Intelligent Vehicle, Motion Model, Observation Model, Particle Filters, Stereo Vision

References

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