most citedOccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

World In Your Hands: A Large-Scale and Open-Source Ecosystem for Learning Human-Centric Manipulation in the Wild

Yupeng Zheng, Jichao Peng, Weize Li +22

We introduce World In Your Hands (WIYH), a large-scale open-source ecosystem comprising over 1,000 hours of human manipulation data collected in-the-wild with millimeter-scale moti…

cs.CV2025

Collaborative Learning of Local 3D Occupancy Prediction and Versatile Global Occupancy Mapping

Shanshuai Yuan, Julong Wei, Muer Tie +3

Vision-based 3D semantic occupancy prediction is vital for autonomous driving, enabling unified modeling of static infrastructure and dynamic agents. Global occupancy maps serve as…

cs.CV2024★ 2 cited

OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

Julong Wei, Shanshuai Yuan, Pengfei Li +3

The rise of multi-modal large language models(MLLMs) has spurred their applications in autonomous driving. Recent MLLM-based methods perform action by learning a direct mapping fro…

cs.CV2024

O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation

Muer Tie, Julong Wei, Zhengjun Wang +7

Online construction of open-ended language scenes is crucial for robotic applications, where open-vocabulary interactive scene understanding is required. Recently, neural implicit…

cs.CV2024

HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes

Ke Wu, Kaizhao Zhang, Zhiwei Zhang +7

Online dense mapping of urban scenes forms a fundamental cornerstone for scene understanding and navigation of autonomous vehicles. Recent advancements in mapping methods are mainl…