Hyuna Kim, Bowon Jung, Okkyung Choi, Seungbin Moon
{"title":"基于视频数据库的移动机器人环境识别性能评价方法","authors":"Hyuna Kim, Bowon Jung, Okkyung Choi, Seungbin Moon","doi":"10.1109/ROBIO.2013.6739891","DOIUrl":null,"url":null,"abstract":"It is needed to evaluate how well the robot recognizes its environments while it is moving along the path to perform intended tasks. In general, the behavioral patterns of robot when it encounters sudden obstacles in a given environment may depend upon the obstacle avoidance algorithms that are programmed into the robot. In order to evaluate the performance of the environment recognition, we constructed the video image database sets which are photographed by both color image and depth image. We showed that the proposed performance evaluation method could be utilized effectively in evaluating the recognition performance of a robot.","PeriodicalId":434960,"journal":{"name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Performance evaluation method for environment recognition of mobile robot employing video database\",\"authors\":\"Hyuna Kim, Bowon Jung, Okkyung Choi, Seungbin Moon\",\"doi\":\"10.1109/ROBIO.2013.6739891\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is needed to evaluate how well the robot recognizes its environments while it is moving along the path to perform intended tasks. In general, the behavioral patterns of robot when it encounters sudden obstacles in a given environment may depend upon the obstacle avoidance algorithms that are programmed into the robot. In order to evaluate the performance of the environment recognition, we constructed the video image database sets which are photographed by both color image and depth image. We showed that the proposed performance evaluation method could be utilized effectively in evaluating the recognition performance of a robot.\",\"PeriodicalId\":434960,\"journal\":{\"name\":\"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2013.6739891\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2013.6739891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance evaluation method for environment recognition of mobile robot employing video database
It is needed to evaluate how well the robot recognizes its environments while it is moving along the path to perform intended tasks. In general, the behavioral patterns of robot when it encounters sudden obstacles in a given environment may depend upon the obstacle avoidance algorithms that are programmed into the robot. In order to evaluate the performance of the environment recognition, we constructed the video image database sets which are photographed by both color image and depth image. We showed that the proposed performance evaluation method could be utilized effectively in evaluating the recognition performance of a robot.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
