For the development of a transfer concept of camera-based object detections from Advanced Driver Assistance Systems to the assistance of the visually impaired, we define relevant traffic scenarios and vision use cases by means of problem-centered interviews with four experts and ten members of the target group. We identify the six traffic scenarios: general orientation, navigating to an address, crossing a road, obstacle avoidance, boarding a bus, and at the train station clustered into the three categories: Orientation, Pedestrian, and Public Transport. Based on the data, we describe each traffic scenario and derive a summarizing table adapted from software engineering resulting in a collection of vision use cases. The ones that are also of interest in Advanced Driver Assistance Systems – Bicycle, Crosswalk, Traffic Sign, Traffic Light (State), Driving Vehicle, Obstacle, and Lane Detection – build the foundation of our future work. Furthermore, we present social insights that we gained from the interviews and discuss the indications we gather by considering the importance of the identified use cases for each interviewed member of the target group.


problem-centered interviews, visual impairment, traffic scenarios, vision use cases

Author Bio(s)

Judith Jakob, Ph.D., is a Professor at the Department of Computer Science at the University of Applied Sciences in Dortmund, Germany. At the time of the study, she was a Ph.D. candidate at the Doctoral School of Applied Informatics and Applied Mathematics of Óbuda University, Budapest, Hungary, and a research assistant at the Furtwangen University of Applied Sciences, Furtwangen, Germany. She researches the possibilities of camera-based assistance for visually impaired people. Correspondence regarding this article can be addressed directly to: Judith.Jakob@fh-dortmund.de

Kordula Kugele, M.A., is a sociologist and works as a lecturer at Furtwangen Universtity of Applied Sciences, Furtwangen, Germany. Her focus in academic teaching is particularly on sociology, leadership, and social interaction. She has worked as a researcher at Furtwangen University before, focusing on gender and innovation topics. Correspondence regarding this article can be addressed directly to kug@hs-furtwangen.de

József Tick, Ph.D., Dr.-habil., is an Assistant Professor at the Department of Applied Informatics at Óbuda University, Budapest, Hungary. His special topics are software engineering and software system development. His research interests include P-graph based modelling and fuzzy systems. Dr. Tick teaches bachelor and master courses and supervises doctoral students. Correspondence regarding this article can be addressed directly to: tick@uni-obuda.hu

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