Towards Robust Autonomous Landing Systems: Iterative Solutions and Key Lessons Learned
Sebastian Schroder, Yao Deng, Alice James, Avishkar Seth, Kye Morton, Subhas Mukhopadhyay, Richard Han, Xi Zheng

TL;DR
This paper discusses the development of a robust autonomous landing system for UAVs, sharing iterative improvements, key challenges, and lessons learned to advance reliable autonomous landing technology.
Contribution
It introduces an iterative development process for a marker-based UAV landing system and shares practical insights and challenges encountered, contributing valuable lessons to the field.
Findings
Identified key challenges in autonomous landing systems.
Developed iterative solutions improving system robustness.
Shared practical lessons for future UAV landing system development.
Abstract
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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Taxonomy
TopicsAerospace and Aviation Technology · Robotics and Sensor-Based Localization · UAV Applications and Optimization
