# Towards Robust Autonomous Landing Systems: Iterative Solutions and Key Lessons Learned

arXiv: https://arxiv.org/abs/2505.12176 · HTML: https://mlsanity.com/paper/2505.12176/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 May 2025.

## Built on by (most cited first, 1 of 1)

- [Visual Marker Search for Autonomous Drone Landing in Diverse Urban Environments](https://mlsanity.com/paper/2601.11078/) (2026)

## Abstract (arXiv)

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.