BriefGPT.xyz
Jul, 2023
语言条件下的交通生成
Language Conditioned Traffic Generation
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Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Kraehenbuehl
TL;DR
该研究论文介绍了一种名为LCTGen的模型,它结合了大型语言模型和基于变压器的解码器架构,利用语言作为动态交通场景生成的监督来源,其在无条件和条件下的交通场景生成方面表现优于之前的研究,并且在现实感和保真度方面更好。
Abstract
Simulation forms the backbone of modern
self-driving development
.
simulators
help develop, test, and improve driving systems without putting humans, vehicles, or their environment at risk. However,
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