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Line-of-sight in operating a small unmanned aerial vehicle: How far can a quadcopter fly in line-of-sight?
- Source :
- Applied ergonomics. 81
- Publication Year :
- 2018
-
Abstract
- A field study was conducted to investigate the probabilities of human participants to detect a small unmanned aerial vehicle (UAV) at a certain distance. A Phantom 4 quadcopter was remotely controlled to hover at one of the 32 pre-determined locations in the air. Thirty-two participants on the ground were requested to judge if they could see the quadcopter on a four-point scale: 1. definitely yes, 2. probably yes, 3. probably no, and 4. definitely no. The participants also responded whether they could hear the quadcopter on the same four-point scale. Logistic regression models were established to estimate the probability of detecting the quadcopter in the air, both visually and auditory. When navigating a quadcopter flying away from the operator, the sound stimulus diminished and then disappeared earlier than that of the sight of the quadcopter. The results of the study indicated that the probability of visual detection of the quadcopter at a distance of 300 m was approximately 0.3. When adopting a 50% probability of visual detection and the “definitely or probably yes” criterion, the estimated distance of line-of-sight was 245 m. The corresponding visual angle was 0.065°. The information in this study is valuable for drone operators, operator training institutes, and drone designers. The aviation authorities may also consider revising the codes or regulations for small UAV operation based on our findings.
- Subjects :
- Male
Quadcopter
Aircraft
Computer science
Aviation
Physical Therapy, Sports Therapy and Rehabilitation
Human Factors and Ergonomics
03 medical and health sciences
Young Adult
0302 clinical medicine
Humans
0501 psychology and cognitive sciences
Computer vision
Safety, Risk, Reliability and Quality
Engineering (miscellaneous)
050107 human factors
Probability
Line-of-sight
business.industry
Distance Perception
05 social sciences
030210 environmental & occupational health
Drone
Sight
Visual detection
Logistic Models
Operator training
Sensory Thresholds
Auditory Perception
Visual Perception
Female
Artificial intelligence
Visual angle
business
Subjects
Details
- ISSN :
- 18729126
- Volume :
- 81
- Database :
- OpenAIRE
- Journal :
- Applied ergonomics
- Accession number :
- edsair.doi.dedup.....cbdfb9f83057f692e7235eeb42aa368b