相关实验视频
Updated: Jun 10, 2025

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Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
Published on: July 30, 2020
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自主月球探测器定位,同时完全扫描一个有限的,充满障碍的工作空间.
1System Engineering Department, Sejong University, Seoul 05006, Republic of Korea.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
这项研究介绍了一个新的扫描路径策略,用于探索黑暗外太空的三辆火星车团队. 该方法确保完全覆盖工作空间,没有检测孔,同时通过定期返回已知的基站来管理探测器定位错误.
科学领域:
- 机器人技术和自主系统
- 太空探索技术 太空探索技术
- 路径规划算法 路径规划算法
背景情况:
- 外层空间探索带来了独特的挑战,包括黑暗和缺乏卫星导航.
- 漫游者团队需要强大的战略来实现自主探索和在未知的环境中准确定位.
- 漫游者需要同时激活摄像头和光线来扫描有限的,黑暗的空间.
研究的目的:
- 为在未知,黑暗的外太空环境中为多车队开发扫描路径计划策略.
- 为了确保完全覆盖一个有界限,充满障碍的工作空间,没有检测孔.
- 在没有全球导航卫星系统 (GNSS) 的情况下,解决和限制领先的探测器 (运输车) 的累积定位错误.
主要方法:
- 建议采用三辆火星车团队配置,其中一辆运输火星车负责使用立体摄像头和惯性测量单元 (IMU) 进行本地化.
- 其他漫游车跟随运输员,依靠其定位.
- 定位错误通过定期返回已知的基站并使用Lidar进行相对定位来纠正.
主要成果:
- 拟议的策略使得漫游者团队能够全面扫描一个有界限,充满障碍物的工作空间.
- 扫描过程确保没有检测漏洞.
- 运输商的定位错误通过定期返回基站有效地受到限制.
- 在 MATLAB 中的模拟证明了扫描和本地化策略的有效性.
结论:
- 开发的扫描路径计划策略允许漫游车队高效,全面地探索具有挑战性的外太空环境.
- 这种新的方法成功地将完整的工作空间覆盖与强大的本地化错误管理相结合.
- 这项研究为需要精确地图和导航的自主深空探索任务提供了可行的解决方案.
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