自主移动的导航和控制技术特刊

Y. Minami, Hiroshi Okajima, K. Sawada, Kazuma Sekiguchi
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引用次数: 0

摘要

以自动驾驶汽车、自主移动机器人、无人机等为代表的自主移动性,对于交通服务的加速和实际应用以及交付、引导、安全、检查的自动化至关重要。因此,近年来,人们对自动驾驶汽车的期望越来越高,期望它不仅能提高交通的便利性和舒适性,提高物流的效率,还能解决各种社会问题。为了保证自动驾驶汽车的安全性和质量,需要多种技术要素。例如,需要技术来创建环境地图,并根据摄像头和传感器(如LiDAR)获取的数据自动确定障碍物。规划适当路线和安全舒适地控制机器人的技术也是必不可少的。本期特刊重点介绍了24篇精彩的论文,其中包括20篇研究论文、3篇书信和1篇发展报告。它们与自动驾驶汽车和无人机等自主移动机器人的“识别”、“决策和规划”、“控制”技术有关。论文的关键词如下:•避碰、路径规划、路径跟踪控制•运动控制、姿态控制•测量、位置和姿态估计、建模•点云处理。我们对所有作者和评论者表示感谢,并希望这期特刊对未来自主移动领域的研究和发展有所贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Special Issue on Navigation and Control Technologies for Autonomous Mobility
Autonomous mobility, as exemplified by self-driving cars, autonomous mobile robots, drones, etc., is essential to the acceleration and practical application of transportation services and the automation of delivery, guidance, security, and inspection. Therefore, in recent years, expectations have been building for autonomous mobility to grow as a technology that not only improves the convenience and comfort of transportation and the efficiency of logistics but also leads to solutions to various social problems. Various technological elements are required to ensure the safety and quality of autonomous mobility. For example, technology is needed to create environmental maps and automatically determine obstacles based on data acquired by cameras and sensors such as LiDAR. Technologies for planning appropriate routes and controlling robots safely and comfortably are also essential. This special issue highlights 24 exciting papers, including 20 research papers, three letters, and one development report. They are related to “recognition,” “decision and planning,” and “control” technologies for autonomous mobile robots, such as self-driving cars and drones. The papers’ keywords are as follows: • Collision avoidance, path planning, path tracking control • Motion control, attitude control • Measurement, position and posture estimation, modeling • Point cloud processing We would like to express our gratitude to all authors and reviewers, and we hope that this special issue contributes to future research and development in autonomous mobility.
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