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Perceptual mechanisms humans use in motion planning and guidance are responsible for their agile and versatile capabilities. Their understandings would help advance both autonomous control and improve human-machine interfaces. This paper extends prior work by collecting human trajectory and gaze data while performing simulated first-person motion guidance tasks. This data is considered under the hypothesis...
This paper provides a preliminary analysis of an autonomous uncooperative collision avoidance strategy for unmanned aircraft using image-based visual control. Assuming target detection, the approach consists of three parts. First, a novel decision strategy is used to determine appropriate reference image features to track for safe avoidance. This is achieved by considering the current rules of the...
Evaluating of Variable Speed Limits (VSL) is often only possible in indirect ways due to the lack of sufficient data. Since the majority of safety benefits is expected from warning and increased alertness of drivers, evaluation methods that focus on the informative nature of VSL such as the detection rate (DR) and false alarm rate (FAR) are useful tools. In the state-of-the-art these are typically...
The work described in this paper is part of a larger research program named Partage whose goal is to appropriately share lateral control between the driver and an electronic copilot or assistance. The present study is looking for a cybernetic model of a driver steering road vehicle, which makes the sensorimotor dynamics explicit. The proposed model takes into account both visual and kinesthetic perception,...
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