Pedestrian Notification Methods in Autonomous Vehicles for Multi-Class Mobility-on-Demand Service
| Autor: | Evelyn Florentine, Scott Pendleton, Marcelo H. Ang, Mark Adam Ang, Hans Andersen |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
050210 logistics & transportation
Service (systems architecture) Social robot Computer science business.industry 05 social sciences Acknowledgement ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pedestrian Human–robot interaction Broadcasting (networking) Software Human–computer interaction Arduino 0502 economics and business 0501 psychology and cognitive sciences business 050107 human factors Simulation |
| Zdroj: | HAI |
| DOI: | 10.1145/2974804.2974833 |
| Popis: | In this paper, we describe methods of conveying perception information and motion intention from self driving vehicles to the surrounding environment. One method is by equipping autonomous vehicles with Light-Emitting Diode (LED) strips to convey perception information; typical pedestrian-driver acknowledgement is replaced by visual feedback via lights which change color to signal the presence of obstacles in the surrounding environment. Another method is by broadcasting audio cues of the vehicle's motion intention to the environment. The performance of the autonomous vehicles as social robots is improved by building trust and engagement with interacting pedestrians. The software and hardware systems are detailed, and a video demonstrates the working system in real application. Further extension of the work for multi-class mobility in human environments is discussed. |
| Databáze: | OpenAIRE |
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