Efficient Point-based 3D Semantic Occupancy Prediction
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Updated
Jul 13, 2024 - Python
Efficient Point-based 3D Semantic Occupancy Prediction
[CVPR2024] Official implementation of "RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception"
[NeurIPS 2023] Asynchrony-Robust Collaborative Perception via Bird’s Eye View Flow
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
A curated list of awesome world models for autonomous driving (continually updated)
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation (Updating)
Via high-fidelity CARLA vehicle simulator & deep semantic segmentation, data from RGBA cameras and LiDAR sensors are combined to achieve comprehensive environmental awareness
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