微软研究院的最新大作。 We describe two new approaches to human pose estimation. Both can quickly and accurately predict the 3D positions of body jointsfromasingledepthimage,withoutusinganytemporalinformation.Thekeytobothapproachesistheuseofalarge,realistic, an
Virtually all existing mobile robot localization techniques operate on a static map of the environment. When the environment changes (e.g., doors are opened or closed), there is an opportunity to simultaneously estimate the robot’s pose and the stat
Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors On an Autonomous Racecar
背景
三维物体投影在平面上会失去一个维度，即不知道物体的距离。但是，有了三维物体的先验信息，我们可以知道三维物体的距离
To this end, we propose a low-latency real-time pipeline to detect and est
