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cs.CV2026
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.CV2025
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
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…