26 citations · 26 across the 2 of their papers we have counts for
4 papers · 1 filter
WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction
Heng Zhai, Jilin Mei, Chen Min +3
3D semantic occupancy prediction is an essential part of autonomous driving, focusing on capturing the geometric details of scenes. Off-road environments are rich in geometric info…
UniWorld: Autonomous Driving Pre-training via World Models
Chen Min, Dawei Zhao, Liang Xiao +2
In this paper, we draw inspiration from Alberto Elfes' pioneering work in 1989, where he introduced the concept of the occupancy grid as World Models for robots. We imbue the robot…
STS: Surround-view Temporal Stereo for Multi-view 3D Detection
Zengran Wang, Chen Min, Zheng Ge +4
Learning accurate depth is essential to multi-view 3D object detection. Recent approaches mainly learn depth from monocular images, which confront inherent difficulties due to the…
ORFD: A Dataset and Benchmark for Off-Road Freespace Detection
Chen Min, Weizhong Jiang, Dawei Zhao +4
Freespace detection is an essential component of autonomous driving technology and plays an important role in trajectory planning. In the last decade, deep learning-based free spac…