Paper Image

Editable simulation of autonomous driving scenes

Published on:

8 February 2024

Primary Category:

Computer Vision and Pattern Recognition

Paper Authors:

Yuxi Wei,

Zi Wang,

Yifan Lu,

Chenxin Xu,

Changxing Liu,

Hao Zhao,

Siheng Chen,

Yanfeng Wang

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Key Details

Enables editing driving scene simulations via language

Uses collaborative LLM agents for flexible editing

Employs novel multi-camera neural radiance field method

Proposes lighting estimation to integrate assets

Shows complex command handling and photo-realistic results

AI generated summary

Editable simulation of autonomous driving scenes

This paper introduces ChatSim, a system that enables editing photo-realistic 3D driving scene simulations through natural language commands. ChatSim uses a framework of collaborative large language model agents to interpret commands and distribute specialized editing tasks. To generate high-quality outcomes, ChatSim employs novel methods for multi-camera neural radiance field rendering and lighting estimation with external digital assets.

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