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HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation
CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving software. It functions as an urban traffic simulator that generates realistic vehicle and pedestrian behavior and as a synthetic sensor data generator producing LiDAR, Radar, and camera data. The platform distinguishes itself through its deep integration with robotics frameworks, specifically providing native connectivity to ROS2 nodes for robotic control and data processing. It supports the training of driving models via imitation and reinforcement learning within a controlle
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control
WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving Yifang Xu 1   Jiahao Cui 1   Feipeng Cai 2   Zhihao Zhu 1   Hanlin Shang 1   Shan Luan 1   Mingwang Xu 1   Neng Zhang 2   Yaoyi Li 2   Jia Cai 2  …
The main features of fudan-generative-vision/wam-flow are: Autonomous Driving Research, Driving World Models.
Open-source alternatives to fudan-generative-vision/wam-flow include: h-embodvis/hermesv2 — HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation. carla-simulator/carla — CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving… afari-research/chainflow-vla — The code will be released soon. auto-world/autoworld. autonomousvision/navsim. antonioo-c/geodrive — GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control.
