Aiding Depth Perception in Initial Drone Training: Evidence from Camera-Assisted Distance Estimation

Remotely Piloted Aircraft (RPA) pilots frequently experience difficulties with depth perception, particularly when estimating distances between the drone and environmental obstacles. This study evaluates whether the use of onboard camera imagery can improve exocentric distance estimation accuracy among ab initio drone pilots operating under visual line-of-sight (VLOS) conditions. Two groups of undergraduate students performed distance estimation tasks at 20 and 50 m. One group used direct observation only to estimate the exocentric distance between the drone and an obstacle. The second group, as well as direct observation, had access to a live video feed from the drone’s onboard camera via a ground control station. At 20 m, there was no statistically significant difference in estimation accuracy between the groups. However, at 50 m, the camera-assisted group demonstrated significantly improved accuracy in distance estimation and reduced variance in estimation error. These findings suggest that a ubiquitous and low-cost technology, originally intended for imaging, can offer measurable benefits for depth perception at greater operational distances. The inclusion of camera-assisted perception training during early-stage licensing may enhance safety and spatial judgement in RPAS operations.

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Publication Details

Journal
Technologies
Published
2025-06-24
DOI
https://doi.org/10.3390/technologies13070267
Citations
1
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
4.99
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article

Aiding Depth Perception in Initial Drone Training: Evidence from Camera-Assisted Distance Estimation

Steven Richardson, Keith Joiner, Graham Wild, John Murray
1 citations
Technologies
Robotics and Sensor-Based Localization
4.99
article

Aiding Depth Perception in Initial Drone Training: Evidence from Camera-Assisted Distance Estimation

Steven Richardson, Keith Joiner, Graham Wild, John Murray
article en
1 citations

Abstract

Remotely Piloted Aircraft (RPA) pilots frequently experience difficulties with depth perception, particularly when estimating distances between the drone and environmental obstacles. This study evaluates whether the use of onboard camera imagery can improve exocentric distance estimation accuracy among ab initio drone pilots operating under visual line-of-sight (VLOS) conditions. Two groups of undergraduate students performed distance estimation tasks at 20 and 50 m. One group used direct observation only to estimate the exocentric distance between the drone and an obstacle. The second group, as well as direct observation, had access to a live video feed from the drone’s onboard camera via a ground control station. At 20 m, there was no statistically significant difference in estimation accuracy between the groups. However, at 50 m, the camera-assisted group demonstrated significantly improved accuracy in distance estimation and reduced variance in estimation error. These findings suggest that a ubiquitous and low-cost technology, originally intended for imaging, can offer measurable benefits for depth perception at greater operational distances. The inclusion of camera-assisted perception training during early-stage licensing may enhance safety and spatial judgement in RPAS operations.

TechnologiesVol. 13(7)
Edith Cowan University (AU), University of Canberra (AU), UNSW Canberra
Openalex Percentile: Top 6%
Robotics and Sensor-Based Localization
4.99
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Aiding Depth Perception in Initial Drone Training: Evidence from Camera-Assisted Distance Estimation — Steven Richardson, Keith Joiner, et al. · Technologies (2025) | TGRS Research Map | TGRS