{"title":"基于平面投影立体视觉的障碍物定位估计","authors":"K. Onoguchi, N. Takeda, Mutsumi Watanabe","doi":"10.1109/ROBOT.1997.619345","DOIUrl":null,"url":null,"abstract":"This paper presents a new method for estimating locations of moving obstacles from stereo images without tracking between image frames and without searching corresponding points between stereo images. First, a free-space map in front of a vehicle is created by the planar projection stereopsis method which can easily decide whether or not each point in a stereo image exists on a ground plane. Next, the moving obstacles detected in an image by using the residual error calculated in the process of focus of expansion estimation are projected to the free-space map. In the free space map, obstacle locations are estimated as the intersection between the projected obstacle areas and the contour of a free-space area. Experimental results for real road scenes with pedestrian, bicycle or automobile as moving obstacles show the effectiveness of the proposed method.","PeriodicalId":225473,"journal":{"name":"Proceedings of International Conference on Robotics and Automation","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Obstacle location estimation using planar projection stereopsis method\",\"authors\":\"K. Onoguchi, N. Takeda, Mutsumi Watanabe\",\"doi\":\"10.1109/ROBOT.1997.619345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new method for estimating locations of moving obstacles from stereo images without tracking between image frames and without searching corresponding points between stereo images. First, a free-space map in front of a vehicle is created by the planar projection stereopsis method which can easily decide whether or not each point in a stereo image exists on a ground plane. Next, the moving obstacles detected in an image by using the residual error calculated in the process of focus of expansion estimation are projected to the free-space map. In the free space map, obstacle locations are estimated as the intersection between the projected obstacle areas and the contour of a free-space area. Experimental results for real road scenes with pedestrian, bicycle or automobile as moving obstacles show the effectiveness of the proposed method.\",\"PeriodicalId\":225473,\"journal\":{\"name\":\"Proceedings of International Conference on Robotics and Automation\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of International Conference on Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOT.1997.619345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Conference on Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOT.1997.619345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Obstacle location estimation using planar projection stereopsis method
This paper presents a new method for estimating locations of moving obstacles from stereo images without tracking between image frames and without searching corresponding points between stereo images. First, a free-space map in front of a vehicle is created by the planar projection stereopsis method which can easily decide whether or not each point in a stereo image exists on a ground plane. Next, the moving obstacles detected in an image by using the residual error calculated in the process of focus of expansion estimation are projected to the free-space map. In the free space map, obstacle locations are estimated as the intersection between the projected obstacle areas and the contour of a free-space area. Experimental results for real road scenes with pedestrian, bicycle or automobile as moving obstacles show the effectiveness of the proposed method.