工业界与学术界的自动驾驶端到端规划：2022-2023
End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023
AI总结：
本文回顾了2022-2023年工业界与学术界自动驾驶端到端规划的方法与技术，涵盖多家企业方案及前沿学术研究，为初学者与高级研究人员提供简洁的入门与补充材料。
摘要：
本文旨在快速回顾当前工业界和学术界报道的方法及其详细技术。具体而言，本文回顾了端到端规划，包括 Tesla FSD V12、Momenta 2023、Horizon Robotics 2023、Motional RoboTaxi 2022、Woven Planet (Toyota): Urban Driver 以及 Nvidia。此外，我们回顾了研究自动驾驶端到端规划的最先进学术研究。本文为读者提供了 2022-2023 年最先进端到端规划的简洁结构和快速学习途径。本文作为入门材料，为初学者跟进工业界和学术界最先进的自动驾驶端到端规划提供了有意义的概述，也为高级研究人员提供了补充材料。
英文摘要：
This paper aims to provide a quick review of the methods including the technologies in detail that are currently reported in industry and academia. Specifically, this paper reviews the end-to-end planning, including Tesla FSD V12, Momenta 2023, Horizon Robotics 2023, Motional RoboTaxi 2022, Woven Planet (Toyota): Urban Driver, and Nvidia. In addition, we review the state-of-the-art academic studies that investigate end-to-end planning of autonomous driving. This paper provides readers with a concise structure and fast learning of state-of-the-art end-to-end planning for 2022-2023. This article provides a meaningful overview as introductory material for beginners to follow the state-of-the-art end-to-end planning of autonomous driving in industry and academia, as well as supplementary material for advanced researchers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
