This paper presents the design and ground verification for vision-based relative navigation systems of microsatellites,which offers a comprehensive hardware design solution and a robust experimental verification metho...This paper presents the design and ground verification for vision-based relative navigation systems of microsatellites,which offers a comprehensive hardware design solution and a robust experimental verification methodology for practical implementation of vision-based navigation technology on the microsatellite platform.Firstly,a low power consumption,light weight,and high performance vision-based relative navigation optical sensor is designed.Subsequently,a set of ground verification system is designed for the hardware-in-the-loop testing of the vision-based relative navigation systems.Finally,the designed vision-based relative navigation optical sensor and the proposed angles-only navigation algorithms are tested on the ground verification system.The results verify that the optical simulator after geometrical calibration can meet the requirements of the hardware-in-the-loop testing of vision-based relative navigation systems.Based on experimental results,the relative position accuracy of the angles-only navigation filter at terminal time is increased by 25.5%,and the relative speed accuracy is increased by 31.3% compared with those of optical simulator before geometrical calibration.展开更多
自主导航能力是无人系统所要具备的核心能力。近年来,无人系统作业的环境日益复杂,所面临的任务也越来越有挑战性,这对其自主导航能力提出更高的要求。随着神经科学和人工智能的不断发展,基于动物大脑空间导航机理的类脑导航技术已经成...自主导航能力是无人系统所要具备的核心能力。近年来,无人系统作业的环境日益复杂,所面临的任务也越来越有挑战性,这对其自主导航能力提出更高的要求。随着神经科学和人工智能的不断发展,基于动物大脑空间导航机理的类脑导航技术已经成为一种解决复杂环境下智能导航问题的方案。本文对类脑智能导航技术的发展历程进行梳理与总结,重点讨论类脑导航的空间认知模型建模技术及其应用技术——类脑同时定位与建图(simultaneous localization and mapping,SLAM)技术及类脑集群导航技术。最后,总结目前类脑导航技术面临的挑战和不足,并探讨未来的重要发展方向。展开更多
基金supported in part by the Doctoral Initiation Fund of Nanchang Hangkong University(No.EA202403107)Jiangxi Province Early Career Youth Science and Technology Talent Training Project(No.CK202403509).
文摘This paper presents the design and ground verification for vision-based relative navigation systems of microsatellites,which offers a comprehensive hardware design solution and a robust experimental verification methodology for practical implementation of vision-based navigation technology on the microsatellite platform.Firstly,a low power consumption,light weight,and high performance vision-based relative navigation optical sensor is designed.Subsequently,a set of ground verification system is designed for the hardware-in-the-loop testing of the vision-based relative navigation systems.Finally,the designed vision-based relative navigation optical sensor and the proposed angles-only navigation algorithms are tested on the ground verification system.The results verify that the optical simulator after geometrical calibration can meet the requirements of the hardware-in-the-loop testing of vision-based relative navigation systems.Based on experimental results,the relative position accuracy of the angles-only navigation filter at terminal time is increased by 25.5%,and the relative speed accuracy is increased by 31.3% compared with those of optical simulator before geometrical calibration.
文摘自主导航能力是无人系统所要具备的核心能力。近年来,无人系统作业的环境日益复杂,所面临的任务也越来越有挑战性,这对其自主导航能力提出更高的要求。随着神经科学和人工智能的不断发展,基于动物大脑空间导航机理的类脑导航技术已经成为一种解决复杂环境下智能导航问题的方案。本文对类脑智能导航技术的发展历程进行梳理与总结,重点讨论类脑导航的空间认知模型建模技术及其应用技术——类脑同时定位与建图(simultaneous localization and mapping,SLAM)技术及类脑集群导航技术。最后,总结目前类脑导航技术面临的挑战和不足,并探讨未来的重要发展方向。
