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Vision for human-piloted Drone Racing
Vision for human-piloted Drone Racing
Human drone pilots use a single First-Person-View camera to gather information about the drone’s pose and the immediate visual environment. This project aims to identify which type(s) of visual information are necessary and minimally sufficient for performing a drone racing task successfully. The student will investigate the effects of active vs restrained eye movements, large vs narrow camera field of view, and central vs peripheral vision on the flight performance of professional pilots using a high-quality drone racing simulator. The student will learn about experiment design and data collection in human subjects (i.e., eye tracking, control commands, drone state, video frames) and statistical analyses of these behavioral and physiological time-series data.
Human drone pilots use a single First-Person-View camera to gather information about the drone’s pose and the immediate visual environment. This project aims to identify which type(s) of visual information are necessary and minimally sufficient for performing a drone racing task successfully. The student will investigate the effects of active vs restrained eye movements, large vs narrow camera field of view, and central vs peripheral vision on the flight performance of professional pilots using a high-quality drone racing simulator. The student will learn about experiment design and data collection in human subjects (i.e., eye tracking, control commands, drone state, video frames) and statistical analyses of these behavioral and physiological time-series data.
The goal is to conduct a human-subjects experiment to identify the effects of active vs. restrained eye movements, large vs. narrow camera field of view, and central vs. peripheral vision on flight performance in drone racing. Requirements: Strong Python or Matlab skills; Interest in human-subjects research; Pytorch, Eye tracking, and drone flight experience is a plus but not strictly necessary.
The goal is to conduct a human-subjects experiment to identify the effects of active vs. restrained eye movements, large vs. narrow camera field of view, and central vs. peripheral vision on flight performance in drone racing. Requirements: Strong Python or Matlab skills; Interest in human-subjects research; Pytorch, Eye tracking, and drone flight experience is a plus but not strictly necessary.
Please send your CV and transcripts (bachelor and master) to Christian Pfeiffer (cpfeiffe AT ifi DOT uzh DOT ch) and Leonard Bauersfeld (bauersfeld AT ifi DOT uzh DOT ch).
Please send your CV and transcripts (bachelor and master) to Christian Pfeiffer (cpfeiffe AT ifi DOT uzh DOT ch) and Leonard Bauersfeld (bauersfeld AT ifi DOT uzh DOT ch).