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Pavlo Bazilinskyy

Assistant professor (Engineering; Information and Computing Sciences; Psychology and Cognitive Sciences; Transport)

Eindhoven, The Netherlands

Pavlo Bazilinskyy is an assistant professor at TU Eindhoven focusing on AI-driven interaction between automated vehicles and other road users. He finished his PhD at TU Delft in auditory feedback for automated driving as a Marie Curie Fellow, where he also worked as a postdoc. He was the head of data research at SD-Insights. Pavlo is involved with startups and was a chair of the Bridging Science and Business working group of MCAA and a director of the Research and Innovation unit of EMA.

Publications

  • Analyzing crowdsourced ratings of speech-based take-over requests for automated driving
  • When will most cars be able to drive fully automatically? Projections of 18,970 survey respondents
  • Risk perception: A study using dashcam videos and participants from different world regions
  • How do pedestrians distribute their visual attention when walking through a parking garage? An eye-tracking study
  • Automated vehicles that communicate implicitly: examining the use of lateral position within the lane
  • Predicting perceived risk of traffic scenes using computer vision
  • Blind driving by means of the track angle error
  • Auditory interfaces in automated driving: An international survey
  • How should external human-machine interfaces behave? Examining the effects of colour, position, message, activation distance, vehicle yielding, and visual distraction among 1,434 participants
  • Blind driving by means of a steering-based predictor algorithm
  • Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays
  • Take-over again: Investigating multimodal and directional TORs to get the driver back into the loop
  • An International Crowdsourcing Study into People's Statements on Fully Automated Driving
  • Survey on eHMI concepts: The effect of text, color, and perspective
  • The effect of drivers’ eye contact on pedestrians’ perceived safety
  • External Human-Machine Interfaces: Which of 729 Colors Is Best for Signaling 'Please (Do not) Cross'?
  • Crowdsourced Measurement of Reaction Times to Audiovisual Stimuli With Various Degrees of Asynchrony
  • Towards the detection of driver–pedestrian eye contact
  • Stopping by looking: A driver-pedestrian interaction study in a coupled simulator using head-mounted displays with eye-tracking
  • What driving style makes pedestrians think a passing vehicle is driving automatically?
  • Continuous auditory feedback on the status of adaptive cruise control, lane deviation, and time headway: An acceptable support for truck drivers?
  • Blinded windows and empty driver seats: The effects of automated vehicle characteristics on cyclists’ decision-making
  • Get Out of The Way! Examining eHMIs in Critical Driver-Pedestrian Encounters in a Coupled Simulator
  • Bio-inspired intent communication for automated vehicles
  • Blind driving by means of auditory feedback
  • Visual Attention of Pedestrians in Traffic Scenes: A Crowdsourcing Experiment
  • Sonifying the location of an object: A comparison of three methods
  • Object-alignment performance in a head-mounted display versus a monitor
  • Holistic HMI Design for Automated Vehicles: Bridging In-Vehicle and External Communication
  • Breaking Barriers: Workshop on Open Data Practices in AutoUI Research
  • Exterior sounds for electric and automated vehicles: Loud is effective

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Co-workers & collaborators

Joost de Winter

Joost de Winter

Dimitra Dodou

Dimitra Dodou

Yke Bauke Eisma

Assistant professor - Delft

Yke Bauke Eisma

Pavlo Bazilinskyy's public data