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.
Authors
- Steven Richardson (ORCID: https://orcid.org/0000-0002-5723-7346)
- Keith Joiner (ORCID: https://orcid.org/0000-0001-6081-3239)
- Graham Wild (ORCID: https://orcid.org/0000-0003-1223-4675)
- John Murray (ORCID: https://orcid.org/0000-0002-9580-3572)
Institutions
- Edith Cowan University (AU)
- University of Canberra (AU)
- UNSW Canberra
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