4 papers · 1 filter
3DCity-LLM: Empowering Multi-modality Large Language Models for 3D City-scale Perception and Understanding
Yiping Chen, Jinpeng Li, Wenyu Ke +6
While multi-modality large language models excel in object-centric or indoor scenarios, scaling them to 3D city-scale environments remains a formidable challenge. To bridge this ga…
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
Lizhe Liu, Bohua Wang, Hongwei Xie +5
Vision-centric 3D environment understanding is both vital and challenging for autonomous driving systems. Recently, object-free methods have attracted considerable attention. Such…
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments
Chubin Zhang, Juncheng Yan, Yi Wei +5
Occupancy prediction reconstructs 3D structures of surrounding environments. It provides detailed information for autonomous driving planning and navigation. However, most existing…
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision
Mingjie Pan, Jiaming Liu, Renrui Zhang +6
3D occupancy prediction holds significant promise in the fields of robot perception and autonomous driving, which quantifies 3D scenes into grid cells with semantic labels. Recent…