用于微型移动的自动驾驶汽车

Henrik Christensen, David Paz, Hengyuan Zhang, Dominique Meyer, Hao Xiang, Yunhai Han, Yuhan Liu, Andrew Liang, Zheng Zhong, Shiqi Tang
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引用次数: 0

摘要

人们对自动驾驶汽车的设想已有 100 多年的历史。早在 1916 年,《科学美国》的封面就刊登了最早的设想之一。如今,我们已经可以实现汽车的长距离自动驾驶。我们也开始看到微型移动解决方案,例如用于送披萨的 Nuro 汽车。打造能够在城市环境中与不同的道路使用者一起运行的自动驾驶汽车绝非易事。2018 年初,加州大学圣地亚哥分校的语境机器人研究所(Contextual Robotics Institute)发起了一项为微型交通打造全栈式自动驾驶汽车的努力。其动机多种多样:i) 开发在有许多行人的环境中运行的系统;ii) 设计一个不依赖密集地图(或有时被称为高清地图)的系统;iii) 设计构建真正稳健系统的策略;iv) 一个教育下一代工程师的框架。在本文中,我们介绍了对这种车辆的设计、原型制作和评估等研究工作。通过评估,我们探讨了几个研究方向,以弥补不足之处。此外,我们还从这项工作中汲取了经验教训,并提出了今后工作中应注意的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous vehicles for micro-mobility

Autonomous vehicles have been envisioned for more than 100 years. One of the first suggestions was a front cover of Scientific America back in 1916. Today, it is possible to get cars that drive autonomously for extended distances. We are also starting to see micro-mobility solutions, such as the Nuro vehicles for pizza delivery. Building autonomous cars that can operate in urban environments with a diverse set of road-users is far from trivial. Early 2018 the Contextual Robotics Institute at UC San Diego launched an effort to build a full stack autonomous vehicle for micro-mobility. The motivations were diverse: i) development of a system for operation in an environment with many pedestrians, ii) design of a system that does not rely on dense maps (or HD-maps as they are sometimes named), iii) design strategies to build truly robust systems, and iv) a framework to educate next-generation engineers. In this paper, we present the research effort of design, prototyping, and evaluation of such a vehicle. From the evaluation, several research directions are explored to account for shortcomings. Lessons and issues for future work are additionally drawn from this work.

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