The growing importance of lidar technology

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL Industrial Robot-The International Journal of Robotics Research and Application Pub Date : 2022-06-06 DOI:10.1108/ir-05-2022-0138
R. Bogue
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引用次数: 1

Abstract

Purpose This paper aims to provide an insight into light detection and ranging (lidar) technology and its growing applications in robotics. Design/methodology/approach Following a short introduction, this paper first describes the main lidar techniques and then provides details of a selection of recent academic and corporate research and development activities. This is followed by a discussion of existing and emerging applications. Finally, conclusions are drawn. Findings Lidar technology has been the topic of extensive development activity and several principles which differ from the original concept have been commercialised. Lidars are used in all manner of autonomous mobile robots (AMRs) across a broad sector of industries for navigation and have recently started to penetrate the domestic robot market. They have the potential to play a central role in the emerging families of driverless passenger cars and commercial vehicles. In the future, the markets for lidar are expected to expand dramatically as the technology continues to evolve and improve and autonomous vehicles, AMRs and drones become ever-more commonplace. Originality/value This paper illustrates the growing importance of lidar to robotics by providing details of the technology, developments and applications.
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激光雷达技术的重要性与日俱增
本文旨在提供光探测和测距(激光雷达)技术及其在机器人领域日益增长的应用。设计/方法论/方法在简短的介绍之后,本文首先描述了主要的激光雷达技术,然后提供了最近学术和企业研究和开发活动的选择的细节。接下来是对现有和新兴应用程序的讨论。最后,得出结论。发现雷达技术一直是广泛开发活动的主题,与原始概念不同的几个原理已被商业化。激光雷达被广泛应用于各种自主移动机器人(amr)的导航行业,最近开始渗透到国内机器人市场。它们有可能在新兴的无人驾驶乘用车和商用车家族中发挥核心作用。未来,随着技术的不断发展和改进,以及自动驾驶汽车、自动驾驶车辆和无人机变得越来越普遍,激光雷达的市场预计将大幅扩大。原创性/价值本文通过提供技术、发展和应用的细节,说明了激光雷达对机器人技术日益增长的重要性。
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
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