Gang Ye, Guang-ming Xiong, Ning Li, Min Zhu, Jian-wei Gong
{"title":"Road recognition for a wheeled heavy duty off-road autonomous vehicle","authors":"Gang Ye, Guang-ming Xiong, Ning Li, Min Zhu, Jian-wei Gong","doi":"10.1109/ICVES.2015.7396900","DOIUrl":null,"url":null,"abstract":"In this paper, an automatic control system based on \"x-by-wire\" is introduced for a wheeled heavy duty off-road vehicle. Moreover, a vision-based recognition algorithm of unstructured roads for this automated wheeled heavy duty off-road vehicle is presented to extract the complete feasible road area. The road recognition method consists of the multilayer perceptron self-supervised on-line learning and post-process based on a road model assumption. The experimental results show the effectiveness of the proposed system.","PeriodicalId":325462,"journal":{"name":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2015.7396900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, an automatic control system based on "x-by-wire" is introduced for a wheeled heavy duty off-road vehicle. Moreover, a vision-based recognition algorithm of unstructured roads for this automated wheeled heavy duty off-road vehicle is presented to extract the complete feasible road area. The road recognition method consists of the multilayer perceptron self-supervised on-line learning and post-process based on a road model assumption. The experimental results show the effectiveness of the proposed system.
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