Gang Ye, Guang-ming Xiong, Ning Li, Min Zhu, Jian-wei Gong
{"title":"轮式重型越野自动驾驶汽车的道路识别","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":"{\"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}","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}
Road recognition for a wheeled heavy duty off-road autonomous vehicle
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.