论文标题

关于自动导航的全面审查

A Comprehensive Review on Autonomous Navigation

论文作者

Nahavandi, Saeid, Alizadehsani, Roohallah, Nahavandi, Darius, Mohamed, Shady, Mohajer, Navid, Rokonuzzaman, Mohammad, Hossain, Ibrahim

论文摘要

在过去的几十年中,自动移动机器人领域经历了巨大的进步。尽管达到了重要的里程碑,但仍有一些挑战尚待解决。将机器人社区的成就汇总为调查文件,对于保持当前最新的追踪以及将来必须应对的挑战至关重要。本文试图对涵盖传感器类型,移动机器人平台,仿真工具,路径计划和以下主题等主题的自动移动机器人进行全面审查,传感器融合方法,避免障碍物和猛击。提出调查文件的冲动是双重的。首先,自主导航领域快速发展,因此经常撰写调查论文对于使研究社区了解该领域的现状至关重要。其次,深度学习方法彻底改变了许多领域,包括自主导航。因此,有必要对本文涵盖的自主导航中深度学习的作用进行适当的处​​理。未来的工作和研究差距也将进行讨论。

The field of autonomous mobile robots has undergone dramatic advancements over the past decades. Despite achieving important milestones, several challenges are yet to be addressed. Aggregating the achievements of the robotic community as survey papers is vital to keep the track of current state-of-the-art and the challenges that must be tackled in the future. This paper tries to provide a comprehensive review of autonomous mobile robots covering topics such as sensor types, mobile robot platforms, simulation tools, path planning and following, sensor fusion methods, obstacle avoidance, and SLAM. The urge to present a survey paper is twofold. First, autonomous navigation field evolves fast so writing survey papers regularly is crucial to keep the research community well-aware of the current status of this field. Second, deep learning methods have revolutionized many fields including autonomous navigation. Therefore, it is necessary to give an appropriate treatment of the role of deep learning in autonomous navigation as well which is covered in this paper. Future works and research gaps will also be discussed.

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