改进无人机自主着陆系统，解决标记识别中的稳定性问题。
Towards Robust Autonomous Landing Systems: Iterative Solutions and Key Lessons Learned
- 采用迭代开发流程优化基于标记的着陆算法
- 实测中显著提升复杂光照下的定位成功率
- 适合从事无人机自主导航的研究者参考
无人飞行器（UAV）已成为研究热点，众多企业和初创公司投入大量资源进行研发。本文介绍了我们在开发鲁棒的自主标记着陆系统过程中所采取的迭代方法，重点分析了遇到的关键挑战及相应的解决方案。文章回顾了现有的自主着陆系统，并通过分享开发与测试阶段的经验教训，旨在为社区提供有价值的参考。
原文摘要 · Abstract (English)
Uncrewed Aerial Vehicles (UAVs) have become a focal point of research, with both established companies and startups investing heavily in their development. This paper presents our iterative process in developing a robust autonomous marker-based landing system, highlighting the key challenges encountered and the solutions implemented. It reviews existing systems for autonomous landing processes, and through this aims to contribute to the community by sharing insights and challenges faced during development and testing.
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