Vision-Based Autonomous UAV Low-Altitude Road Following and Obstacle Avoidance
This study proposes an autonomous vision-based UAV system for low-altitude road following, overcoming drawbacks of remote operation and GPS reliance. The system autonomously tracks road centerlines and avoids obstacles. Validated through experiments, it has 0.55-meter centerline error and 99.33% of the time within the range on a 1-kilometer, 7-meter wide road, demonstrating feasibility and robustness. It is capable of long-distance road following without heavy GPS reliance and effective obstacle avoidance, making it suitable for various lowaltitude road following missions.
Authors
- Gong-Yi Lee
- Jinguo Liu (ORCID: https://orcid.org/0000-0002-6790-6582)
Institutions
- National Chengchi University (TW)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/wocc61718.2024.10786036
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00