Abstract： There is a high demand for unmanned aerial vehicle （UAV） flight stability when using vi- sion as a detection method for navigation control. To meet such demand, a new path planning meth- od for controllin...Abstract： There is a high demand for unmanned aerial vehicle （UAV） flight stability when using vi- sion as a detection method for navigation control. To meet such demand, a new path planning meth- od for controlling multi-UAVs is studied to reach multi-waypoints simultaneously under the view of visual navigation technology. A model based on the stable-shortest pythagorean-hodograph （PH） curve is established, which could not only satisfy the demands of visual navigation and control law, but also be easy to compute. Based on the model, a planning algorithm to guide multi-UAVs to reach multi-waypoints at the same time without collisions is developed. The simulation results show that the paths have shorter distance and smaller curvature than traditional methods, which could help to avoid collisions.展开更多
To overcome the shortcomings of the traditional passive ranging technology based on image, such as poor ranging accuracy, low reliability and complex system, a new visual passive ranging method based on re-entrant coa...To overcome the shortcomings of the traditional passive ranging technology based on image, such as poor ranging accuracy, low reliability and complex system, a new visual passive ranging method based on re-entrant coaxial optical path is presented. The target image is obtained using double cameras with coaxial optical path. Since there is imaging optical path difference between the cameras, the images are different. In comparison of the image differences, the target range could be reversed. The principle of the ranging method and the ranging model are described. The relationship among parameters in the ranging process is analyzed quantitatively. Meanwhile,the system composition and technical realization scheme are also presented. Also, the principle of the method is verified by the equivalent experiment. The experimental results show that the design scheme is correct and feasible with good robustness. Generally, the ranging error is less than 10% with good convergence. The optical path is designed in a re-entrant mode to reduce the volume and weight of the system. Through the coaxial design,the visual passive range of the targets with any posture can be obtained in real time. The system can be widely used in electro-optical countermeasure and concealed photoelectric detection.展开更多
视觉导航作为移动机器人自主运行的核心技术支撑,其性能直接决定移动机器人的环境感知精度、定位建图可靠性与路径规划的合理性。文章系统综述移动机器人视觉导航的研究进展,围绕视觉传感器、同步定位与地图构建(Simultaneous Localizat...视觉导航作为移动机器人自主运行的核心技术支撑,其性能直接决定移动机器人的环境感知精度、定位建图可靠性与路径规划的合理性。文章系统综述移动机器人视觉导航的研究进展,围绕视觉传感器、同步定位与地图构建(Simultaneous Localization and Mapping,SLAM)和路径规划三大核心环节展开分析:在视觉传感器层面,重点探讨单模态、多模态融合视觉传感器和新型视觉传感器的技术特性与适配场景;在SLAM层面,总结传统几何SLAM、多模态融合SLAM以及神经隐式SLAM的技术演进与性能优势;在路径规划层面,重点介绍传统算法与生物启发算法的特点与适用场景。最后,总结当前技术面临的挑战,并对未来研究方向进行展望,为视觉导航技术的进一步发展提供参考。展开更多
为系统梳理人工智能(AI)信任领域的研究热点与演进路径,破解该领域发展的关键制约因素,为后续理论研究、技术研发及政策制定提供参考,该研究以Web of Science核心合集相关文献为样本,采用CiteSpace可视化分析方法。通过设定特定检索策略...为系统梳理人工智能(AI)信任领域的研究热点与演进路径,破解该领域发展的关键制约因素,为后续理论研究、技术研发及政策制定提供参考,该研究以Web of Science核心合集相关文献为样本,采用CiteSpace可视化分析方法。通过设定特定检索策略,经CiteSpace去重与人工筛选后,从发文量、学科分布、合作网络、关键词共现及聚类等维度展开分析。分析结果表明:该领域发文量呈指数增长,形成技术支撑、医疗应用、社会交互三大核心模块;研究重心从早期技术底层探索转向应用场景落地与用户互动深化,大语言模型等新兴技术成为近年研究新方向,研究可视化呈现了领域知识结构与发展规律,有助于推动AI技术在可信轨道上持续创新。展开更多
文摘Abstract： There is a high demand for unmanned aerial vehicle （UAV） flight stability when using vi- sion as a detection method for navigation control. To meet such demand, a new path planning meth- od for controlling multi-UAVs is studied to reach multi-waypoints simultaneously under the view of visual navigation technology. A model based on the stable-shortest pythagorean-hodograph （PH） curve is established, which could not only satisfy the demands of visual navigation and control law, but also be easy to compute. Based on the model, a planning algorithm to guide multi-UAVs to reach multi-waypoints at the same time without collisions is developed. The simulation results show that the paths have shorter distance and smaller curvature than traditional methods, which could help to avoid collisions.
基金Supported by the National Basic Research Program of China under Grant No 2014CB340102
文摘To overcome the shortcomings of the traditional passive ranging technology based on image, such as poor ranging accuracy, low reliability and complex system, a new visual passive ranging method based on re-entrant coaxial optical path is presented. The target image is obtained using double cameras with coaxial optical path. Since there is imaging optical path difference between the cameras, the images are different. In comparison of the image differences, the target range could be reversed. The principle of the ranging method and the ranging model are described. The relationship among parameters in the ranging process is analyzed quantitatively. Meanwhile,the system composition and technical realization scheme are also presented. Also, the principle of the method is verified by the equivalent experiment. The experimental results show that the design scheme is correct and feasible with good robustness. Generally, the ranging error is less than 10% with good convergence. The optical path is designed in a re-entrant mode to reduce the volume and weight of the system. Through the coaxial design,the visual passive range of the targets with any posture can be obtained in real time. The system can be widely used in electro-optical countermeasure and concealed photoelectric detection.
文摘视觉导航作为移动机器人自主运行的核心技术支撑,其性能直接决定移动机器人的环境感知精度、定位建图可靠性与路径规划的合理性。文章系统综述移动机器人视觉导航的研究进展,围绕视觉传感器、同步定位与地图构建(Simultaneous Localization and Mapping,SLAM)和路径规划三大核心环节展开分析:在视觉传感器层面,重点探讨单模态、多模态融合视觉传感器和新型视觉传感器的技术特性与适配场景;在SLAM层面,总结传统几何SLAM、多模态融合SLAM以及神经隐式SLAM的技术演进与性能优势;在路径规划层面,重点介绍传统算法与生物启发算法的特点与适用场景。最后,总结当前技术面临的挑战,并对未来研究方向进行展望,为视觉导航技术的进一步发展提供参考。
文摘为系统梳理人工智能(AI)信任领域的研究热点与演进路径,破解该领域发展的关键制约因素,为后续理论研究、技术研发及政策制定提供参考,该研究以Web of Science核心合集相关文献为样本,采用CiteSpace可视化分析方法。通过设定特定检索策略,经CiteSpace去重与人工筛选后,从发文量、学科分布、合作网络、关键词共现及聚类等维度展开分析。分析结果表明:该领域发文量呈指数增长,形成技术支撑、医疗应用、社会交互三大核心模块;研究重心从早期技术底层探索转向应用场景落地与用户互动深化,大语言模型等新兴技术成为近年研究新方向,研究可视化呈现了领域知识结构与发展规律,有助于推动AI技术在可信轨道上持续创新。
