Searched for: author%3A%22de+Winter%2C+J.C.F.%22
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Oudshoorn, Max (author), de Winter, J.C.F. (author), Bazilinskyy, P. (author), Dodou, D. (author)
Various external human-machine interfaces (eHMIs) have been proposed that communicate the intent of automated vehicles (AVs) to vulnerable road users. However, there is no consensus on which eHMI concept is most suitable for intent communication. In nature, animals have evolved the ability to communicate intent via visual signals. Inspired by...
journal article 2021
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Eisma, Y.B. (author), Reiff, A. (author), Kooijman, L. (author), Dodou, D. (author), de Winter, J.C.F. (author)
Future automated vehicles may be equipped with external Human-Machine Interfaces (eHMIs). Currently, little is known about the effect of the perspective of the eHMI message on crossing decisions of pedestrians. We performed an experiment to examine the effects of images depicting eHMI messages of different perspectives (egocentric from the...
journal article 2021
document
Bazilinskyy, P. (author), Dodou, D. (author), de Winter, J.C.F. (author)
The automotive industry has presented a variety of external human-machine interfaces (eHMIs) for automated vehicles (AVs). However, there appears to be no consensus on which types of eHMIs are clear to vulnerable road users. Here, we present the results of two large crowdsourcing surveys on this topic. In the first survey, we asked...
journal article 2019
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de Winter, J.C.F. (author), Dodou, D. (author), Happee, R. (author), Eisma, Y.B. (author)
Vehicles are increasingly equipped with sensors that measure the state of the vehicle and surrounding road users. Although most of these sensor data currently remain local to the vehicle, the data could be shared with the aim to improve road safety. We postulate that there is a range of scenarios regarding data sharing, with two extremes: In...
journal article 2019
Searched for: author%3A%22de+Winter%2C+J.C.F.%22
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