SLOPER4D Dataset

SLOPER4D is a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation (GHPE) with human-scene interaction in the wild. It consists of 15 sequences of human motions, each of which has a trajectory length of more than 200 meters (up to 1,300 meters) and covers an area of more than 2,000 (up to 13,000), including more than 100K LiDAR frames, 300k video frames, and 500K IMU-based motion frames. With SLOPER4D, we provide a detailed an

搜集汇总

背景与挑战

背景概述

SLOPER4D是一个场景感知数据集，旨在支持野外场景中人与环境交互的全球人体姿态估计研究。它包含15个运动序列，每个序列轨迹长度超过200米，覆盖面积超过2000平方米，并提供超过10万帧LiDAR数据、30万视频帧和50万IMU运动帧。