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H-EmbodVis avatar

H-EmbodVis/HERMESV2

0
View on GitHub↗
64 stars·10 forks·Python·Apache-2.0·12 viewsh-embodvis.github.io/HERMESV2↗

HERMESV2

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation

Features

  • Autonomous Driving Research - Unified world model integrating 3D scene understanding and future geometry prediction.
  • Driving World Models - Unified driving model for 3D scene understanding and generation.

Star history

Star history chart for h-embodvis/hermesv2Star history chart for h-embodvis/hermesv2

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does h-embodvis/hermesv2 do?

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation

What are the main features of h-embodvis/hermesv2?

The main features of h-embodvis/hermesv2 are: Autonomous Driving Research, Driving World Models.

What are some open-source alternatives to h-embodvis/hermesv2?

Open-source alternatives to h-embodvis/hermesv2 include: fudan-generative-vision/wam-flow — WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving Yifang Xu 1  … 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.

Open-source alternatives to HERMESV2

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  • fudan-generative-vision/wam-flowfudan-generative-vision avatar

    fudan-generative-vision/WAM-Flow

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    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  …

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  • carla-simulator/carlacarla-simulator avatar

    carla-simulator/carla

    14,072View on GitHub↗

    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

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  • afari-research/chainflow-vlaAFARI-Research avatar

    AFARI-Research/ChainFlow-VLA

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    The code will be released soon.

    View on GitHub↗29
  • antonioo-c/geodriveantonioo-c avatar

    antonioo-c/GeoDrive

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    GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

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