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


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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