{"title":"利用飞行机器人搜索人员的路径创建方法","authors":"T. Yonezawa, E. Takeuchi, K. Ohno, S. Tadokoro","doi":"10.1109/ROBIO.2015.7418973","DOIUrl":null,"url":null,"abstract":"This paper proposes a path-creation method for flying robots to search for persons. The method is based on an appearance-based identification algorithm applied to the images obtained from the sky. A flying robot is a holonomic mobile; it can move in all directions, and the number of paths is infinite. The person identification was performed effectively by choosing the path suitable for the identification from within those combinations. The proposed method can create an efficient path to identify multiple persons accurately. All of the candidate paths that the flying robot can fly were estimated, then the evaluation scores of candidate paths were calculated by cumulating the identification results of multiple persons. The candidate path with the maximum evaluation score was selected. The effectiveness of the method was confirmed via simulation. The path for 1-3 persons who were within a zone of 50 m × 50 m was obtained. The time for one path segment was five seconds. Simulation of multiple path creations for the same persons was performed. Obtaining a result when there was a prior simulation was confirmed. In the simulation, the flying robot flew at a constant height of 3 m and moved at a constant speed of 30 km/h. During movement, the orientation of the camera mounted on the robot was assumed to be fixed. The camera was assumed to be a generic camera with VGA and 1 frame per second. One path creation required approximately one minute (Intel Core i7 CPU).","PeriodicalId":325536,"journal":{"name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Path-creation method to search for persons using a flying robot\",\"authors\":\"T. Yonezawa, E. Takeuchi, K. Ohno, S. Tadokoro\",\"doi\":\"10.1109/ROBIO.2015.7418973\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a path-creation method for flying robots to search for persons. The method is based on an appearance-based identification algorithm applied to the images obtained from the sky. A flying robot is a holonomic mobile; it can move in all directions, and the number of paths is infinite. The person identification was performed effectively by choosing the path suitable for the identification from within those combinations. The proposed method can create an efficient path to identify multiple persons accurately. All of the candidate paths that the flying robot can fly were estimated, then the evaluation scores of candidate paths were calculated by cumulating the identification results of multiple persons. The candidate path with the maximum evaluation score was selected. The effectiveness of the method was confirmed via simulation. The path for 1-3 persons who were within a zone of 50 m × 50 m was obtained. The time for one path segment was five seconds. Simulation of multiple path creations for the same persons was performed. Obtaining a result when there was a prior simulation was confirmed. In the simulation, the flying robot flew at a constant height of 3 m and moved at a constant speed of 30 km/h. During movement, the orientation of the camera mounted on the robot was assumed to be fixed. The camera was assumed to be a generic camera with VGA and 1 frame per second. One path creation required approximately one minute (Intel Core i7 CPU).\",\"PeriodicalId\":325536,\"journal\":{\"name\":\"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2015.7418973\",\"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 Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2015.7418973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
提出了一种用于飞行机器人寻人的路径创建方法。该方法基于一种基于外观的识别算法,应用于从天空获得的图像。飞行机器人是一个完整的移动机器人;它可以向各个方向移动,路径的数量是无限的。通过在这些组合中选择适合识别的路径,有效地进行了人员识别。该方法可以创建一个有效的路径来准确地识别多人。对飞行机器人能够飞行的所有候选路径进行估计,然后通过对多人识别结果的累加,计算候选路径的评价分数。选取评价分数最高的候选路径。通过仿真验证了该方法的有效性。得到了1-3人在50 m × 50 m区域内的路径。一个路径段的时间为5秒。对同一个人的多个路径创建进行了仿真。在事前模拟得到确认的情况下,得到了一个结果。在仿真中,飞行机器人以3 m的恒定高度飞行,以30 km/h的恒定速度移动。在运动过程中,假定安装在机器人上的摄像机的方向是固定的。摄像机被假定为具有VGA和每秒1帧的普通摄像机。创建一个路径大约需要一分钟(Intel Core i7 CPU)。
Path-creation method to search for persons using a flying robot
This paper proposes a path-creation method for flying robots to search for persons. The method is based on an appearance-based identification algorithm applied to the images obtained from the sky. A flying robot is a holonomic mobile; it can move in all directions, and the number of paths is infinite. The person identification was performed effectively by choosing the path suitable for the identification from within those combinations. The proposed method can create an efficient path to identify multiple persons accurately. All of the candidate paths that the flying robot can fly were estimated, then the evaluation scores of candidate paths were calculated by cumulating the identification results of multiple persons. The candidate path with the maximum evaluation score was selected. The effectiveness of the method was confirmed via simulation. The path for 1-3 persons who were within a zone of 50 m × 50 m was obtained. The time for one path segment was five seconds. Simulation of multiple path creations for the same persons was performed. Obtaining a result when there was a prior simulation was confirmed. In the simulation, the flying robot flew at a constant height of 3 m and moved at a constant speed of 30 km/h. During movement, the orientation of the camera mounted on the robot was assumed to be fixed. The camera was assumed to be a generic camera with VGA and 1 frame per second. One path creation required approximately one minute (Intel Core i7 CPU).