Don't drive me my way - Subjective perception of autonomous braking trajectories for pedestrian crossings

Christian Lehsing, Lukas Jünger, Klaus Bengler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Autonomous vehicles will encounter all the traffic situations that current drivers are confronted with. These vehicles are expected to handle the situations at least as good as human drivers or even better. This "better" can be split up in various ways and address different facets of traffic: safety, efficiency, and cooperativity to name a few. The driving simulator study at hand investigated the effect of different braking trajectories of a fully autonomous vehicle (SAE Level 5) approaching a zebra crossing. Participants had to rate two aspects: (1) the perceived cooperativity and (2) the perceived criticality of the programmed braking trajectories, in addition to a replay of their own, manual approach, in a dynamic driving simulator. The results show significant differences between the approaches in terms of how critical and cooperative they were perceived. Remarkably, the participants' individual driving style was, on average, not the safest or most cooperative one. Participants favourized an approach with an early brake onset with gradually increasing and subsequent decreasing brake intensity (bell-shaped curve) until full stop in front of the pedestrian crossing.

Original languageEnglish
Title of host publicationProceedings of the 10th International Symposium on Information and Communication Technology, SoICT 2019
PublisherAssociation for Computing Machinery
Pages291-297
Number of pages7
ISBN (Electronic)9781450372459
DOIs
StatePublished - 4 Dec 2019
Event10th International Symposium on Information and Communication Technology, SoICT 2019 - Ha Noi and Ha Long, Viet Nam
Duration: 4 Dec 20196 Dec 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Symposium on Information and Communication Technology, SoICT 2019
Country/TerritoryViet Nam
CityHa Noi and Ha Long
Period4/12/196/12/19

Keywords

  • Automated braking
  • Braking trajectories
  • Driving automation
  • Human perception
  • Human perception of automated braking
  • Pedestrian crossings

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