Publication: Human-Piloted Drone Racing: Visual Processing and Control
Human-Piloted Drone Racing: Visual Processing and Control
Date
Date
Date
Citations
Pfeiffer, C., & Scaramuzza, D. (2022). Human-Piloted Drone Racing: Visual Processing and Control. IEEE Robotics and Automation Letters, 6(2), 3467–3474. https://doi.org/10.1109/LRA.2021.3064282
Abstract
Abstract
Abstract
Humans race drones faster than algorithms, despite being limited to a fixed camera angle, body rate control, and response latencies in the order of hundreds of milliseconds. A better understanding of the ability of human pilots of selecting appropriate motor commands from highly dynamic visual information may provide key insights for solving current challenges in vision-based autonomous navigation. This work investigates the relationship between human eye movements, control behavior, and flight performance in a drone racing task. We c
Additional indexing
Creators (Authors)
- Pfeiffer, Christian
- Scaramuzza, Davide
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Scope
Scope
Scope
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Publisher DOI
Other Identification Number
Other Identification Number
Other Identification Number
Citations
Pfeiffer, C., & Scaramuzza, D. (2022). Human-Piloted Drone Racing: Visual Processing and Control. IEEE Robotics and Automation Letters, 6(2), 3467–3474. https://doi.org/10.1109/LRA.2021.3064282
