用于人类活动识别的激光雷达技术:展望与挑战

Omar Rinchi, Hakim Ghazzai, Ahmad Alsharoa, Y. Massoud
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引用次数: 1

摘要

对人类活动的智能和自主学习和识别肯定会给公共医疗、教育、娱乐、安全和安保等领域的一些应用和服务带来令人难以置信的进步。随着人工智能、信号处理和计算能力的最新进展,光探测和测距(LiDAR)技术可以在改造当前的人类活动识别(HAR)系统中发挥重要作用。在本杂志中,我们研究了使用激光雷达传感器作为一种新技术的潜力,这种技术可以实现复杂和实时的HAR应用。我们首先概述了HAR类别和现有的最先进技术:基于视频的摄像头、深度传感器、可穿戴设备和WiFi。随后,我们深入研究了激光雷达技术的集成,以执行HAR应用。然后,讨论了激光雷达技术用于HAR的优点和缺点,并与现有技术进行了比较。最后,我们讨论了需要解决的挑战,以实现先进的基于lidar的HAR应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LiDAR Technology for Human Activity Recognition: Outlooks and Challenges
The smart and autonomous learning and recognition of human activities will certainly lead to an incredible progression for several applications and services in public healthcare, education, entertainment, safety and security, and more. With the recent advances in artificial intelligence, signal processing, and computational capabilities, light detection and ranging (LiDAR) technology can play an instrumental role to revamp current human activity recognition (HAR) systems. In this magazine, we investigate the potential of using LiDAR sensors as a novel technology enabling complex and real-time HAR applications. We first overview the HAR categories and the existing state-of-the-art technologies: video-based cameras, depth sensors, wearable devices, and WiFi. Afterward, we delve into the integration of LiDAR technology to perform HAR applications. Then, we discuss the advantages and drawbacks of utilizing LiDAR technology for HAR and compare it with the existing techniques. Finally, we discuss the challenges that need to be addressed to enable advanced LiDAR-based HAR applications.
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