迈向全自动驾驶:系统和算法

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI:10.1109/IVS.2011.5940562

Jesse Levinson, Jake Askeland, J. Becker, Jennifer Dolson, David Held, S. Kammel, J. Z. Kolter, D. Langer, O. Pink, V. Pratt, M. Sokolsky, Ganymed Stanek, David Stavens, Alex Teichman, M. Werling, S. Thrun

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引用次数: 1123

摘要

为了在交通不可预测的城市环境中实现车辆的自主操作，多个实时系统必须实现互操作，包括环境感知、定位、规划和控制。此外，一个具有适当传感器、计算硬件、网络和软件基础设施的健壮的车辆平台是必不可少的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards fully autonomous driving: Systems and algorithms

In order to achieve autonomous operation of a vehicle in urban situations with unpredictable traffic, several realtime systems must interoperate, including environment perception, localization, planning, and control. In addition, a robust vehicle platform with appropriate sensors, computational hardware, networking, and software infrastructure is essential.

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2011 IEEE Intelligent Vehicles Symposium (IV)

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