Study on Estimation and Localization Based on Computer Vision
Unmanned aerial vehicles normally rely on GPS to provide pose information for navigation. In this work,we examine stereo visual odometry (SVO) as an alternative pose estimation method for situations in which GPS in unavailable. SVO is an incremental procedure that determines ego-motion by identifying and tracking visual landmarks in the environment.,using cameras lviounted on-board the chile. We prosent expetiments demonsing how SVC performance varies with camera pointing angle,for a robotic helicopter platform. Our results show that an oblique camera pointing angle produces better motion estimates than a nadir view angle,and that reliable navigation over distances of more than 200 meters is possible using visual information alone.
SVO mobile robots pose estimation stereo vision unmanned aerial vehicles
Zhang Yuanmin
Chengdu R&D Center Motorola Solutions Incorporate Chengdu,P.R.China
国际会议
西安
英文
944-948
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）