{"title":"主动行人跟踪使用激光测距仪","authors":"Chin-Lung Chen, Chih-Chung Chou, Feng‐Li Lian","doi":"10.1109/ICINFA.2011.5949082","DOIUrl":null,"url":null,"abstract":"People tracking and following has become an increasingly popular research topic in recent years. In this paper, two target following methods are proposed and compared. The first is an intuitive method, it sets a pseudo goal further away than the actual target location and use obstacle avoidance algorithm to reach the pseudo goal. The second method uses heuristic search to find a trajectory which can maximize target visibility and minimize the distance between robot and target at the same time. Experimental results show that the proposed trajectory optimization method greatly outperforms the intuitive approach.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Active pedestrian following using laser range finder\",\"authors\":\"Chin-Lung Chen, Chih-Chung Chou, Feng‐Li Lian\",\"doi\":\"10.1109/ICINFA.2011.5949082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"People tracking and following has become an increasingly popular research topic in recent years. In this paper, two target following methods are proposed and compared. The first is an intuitive method, it sets a pseudo goal further away than the actual target location and use obstacle avoidance algorithm to reach the pseudo goal. The second method uses heuristic search to find a trajectory which can maximize target visibility and minimize the distance between robot and target at the same time. Experimental results show that the proposed trajectory optimization method greatly outperforms the intuitive approach.\",\"PeriodicalId\":299418,\"journal\":{\"name\":\"2011 IEEE International Conference on Information and Automation\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Information and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2011.5949082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Information and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2011.5949082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Active pedestrian following using laser range finder
People tracking and following has become an increasingly popular research topic in recent years. In this paper, two target following methods are proposed and compared. The first is an intuitive method, it sets a pseudo goal further away than the actual target location and use obstacle avoidance algorithm to reach the pseudo goal. The second method uses heuristic search to find a trajectory which can maximize target visibility and minimize the distance between robot and target at the same time. Experimental results show that the proposed trajectory optimization method greatly outperforms the intuitive approach.