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.

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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
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article

Vision-Based Autonomous UAV Low-Altitude Road Following and Obstacle Avoidance

Gong-Yi Lee, Jinguo Liu
Robotic Path Planning Algorithms
article

Vision-Based Autonomous UAV Low-Altitude Road Following and Obstacle Avoidance

Gong-Yi Lee, Jinguo Liu
article en

Abstract

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.

National Chengchi University (TW)
Openalex Percentile: Top 77%
Robotic Path Planning Algorithms
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