Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations*

Autonomous Vehicles (AV) will transform transportation, but also the interaction between vehicles and pedestrians. In the absence of a driver, it is not clear how an AV can communicate its intention to pedestrians. One option is to use visual signals. To advance their design, we conduct four human-participant experiments and evaluate six representative AV visual signals for visibility, intuitiveness, persuasiveness, and usability at pedestrian crossings. Based on the results, we distill twelve practical design recommendations for AV visual signals, with focus on signal pattern design and placement. Moreover, the paper advances the methodology for experimental evaluation of visual signals, including lab, closed-course, and public road tests using an autonomous vehicle. In addition, the paper also reports insights on pedestrian crosswalk behaviours and the impacts of pedestrian trust towards AVs on the behaviors. We hope that this work will constitute valuable input to the ongoing development of international standards for AV lamps, and thus help mature automated driving in general.

[1]  Wendy Ju,et al.  Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles , 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[2]  John K. Tsotsos,et al.  Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice , 2018, IEEE Transactions on Intelligent Transportation Systems.

[3]  J. D. Mollon,et al.  Vision out of the corner of the eye , 2011, Vision Research.

[4]  Katherine M. Tsui,et al.  Trust in AV: An Uncertainty Reduction Model of AV-Pedestrian Interactions , 2018, HRI.

[5]  Stefanie M. Faas,et al.  Yielding Light Signal Evaluation for Self-driving Vehicle and Pedestrian Interaction , 2019, IHSED.

[6]  Kerstin Dautenhahn,et al.  Getting to know Pepper: Effects of people's awareness of a robot's capabilities on their trust in the robot , 2018, HAI.

[7]  Rikard Fredriksson,et al.  Will There Be New Communication Needs When Introducing Automated Vehicles to the Urban Context , 2017 .

[8]  Nicolas Guéguen,et al.  A pedestrian’s stare and drivers’ stopping behavior: A field experiment at the pedestrian crossing , 2015 .

[9]  I. Hyman,et al.  Did you see the unicycling clown? Inattentional blindness while walking and talking on a cell phone , 2009 .

[10]  Sowmya Somanath,et al.  Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction , 2018, CHI.

[11]  Tobias Lagström,et al.  AVIP - Autonomous vehicles' interaction with pedestrians - An investigation of pedestrian-driver communication and development of a vehicle external interface , 2016 .

[12]  Krzysztof Czarnecki,et al.  Autonomous Vehicles with Visual Signals for Pedestrians: Experiments and Design Recommendations , 2020 .

[13]  Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles , 2022 .

[14]  Natasha Merat,et al.  Filtration analysis of pedestrian-vehicle interactions for autonomous vehicle control , 2018 .

[15]  K. Moutoussis,et al.  Functional segregation and temporal hierarchy of the visual perceptive systems , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[16]  Kerstin Dautenhahn,et al.  Would You Trust a (Faulty) Robot? Effects of Error, Task Type and Personality on Human-Robot Cooperation and Trust , 2015, 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[17]  Angelos Amditis,et al.  Naturalistic Observation of Interactions Between Car Drivers and Pedestrians in High Density Urban Settings , 2018, Advances in Intelligent Systems and Computing.

[18]  Malte Risto,et al.  Human-Vehicle Interfaces: The Power of Vehicle Movement Gestures in Human Road User Coordination , 2017 .