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2025年5月2日 17:40 星期五
首页 > 过刊浏览>2024年第33卷第4期 >50-59. DOI:10.15888/j.cnki.csa.009486
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辅助视障出行融合障碍物检测的路径规划研究进展
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基金项目:

山东省中医药科技项目(Q-2022052); 山东省研究生教育优质课程建设项目(SDYKC19148; ADYAL18030)


Research Progress on Path Planning for Visually Impaired Travel with Integrated Obstacle Detection
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    摘要:

    视障人士是社会中的弱势群体, 独立出行面临重重障碍. 为视障人士提供安全可靠的辅助设备体现了社会文明的进步. 介绍了辅助视障出行有关的障碍物检测识别关键技术和路径规划相关算法. 重点对障碍物检测之后的路径规划算法进行分析, 综合对比各种技术的应用特点及场景并讨论了相关方法在视障辅助设备中的研究进展. 总结了多技术融合使用在智能辅助设备中的应用现状. 在此基础上, 结合人工智能及嵌入式设备等技术的进步展望了未来辅助视障出行设备的发展方向.

    Abstract:

    The visually impaired are a vulnerable group in society and face many obstacles when traveling independently. Providing safe and reliable auxiliary equipment for the visually impaired reflects the progress of social civilization. This study introduces the key technologies for obstacle detection and identification and path planning related algorithms for assisting visually impaired travel. The study mainly analyzes path planning algorithms after obstacle detection, comprehensively compares the application characteristics and scenarios of various technologies, and discusses the research progress of related methods in visually impaired assistive devices. In addition, it summarizes the current application status of multi-technology integration in intelligent assistance equipment. On this basis, combined with the advancement of technologies such as artificial intelligence and embedded devices, the future development direction of auxiliary visually impaired travel equipment is prospected.

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冯今瑀,张魁星,张铁林,李延军.辅助视障出行融合障碍物检测的路径规划研究进展.计算机系统应用,2024,33(4):50-59

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  • 收稿日期:2023-09-18
  • 最后修改日期:2023-10-25
  • 在线发布日期: 2024-03-01
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