Impact of Camera height and Field-of-View on distance judgement and gap selection in digital rear-view mirrors in vehiclesShow others and affiliations
2025 (English)In: IS and T International Symposium on Electronic Imaging Science and Technology, Society for Imaging Science & Technology , 2025, Vol. 37, article id 199Conference paper, Published paper (Refereed)
Abstract [en]
This study investigates how different camera perspectives presented in digital rear-view mirrors in vehicles, also known as Camera Monitor Systems, impact drivers’ distance judgment and decision-making in dynamic driving scenarios. The study examines (1) the effects of field of view and (2) camera height on drivers' ability to judge distances to rearward vehicles and to select safe gaps in potentially hazardous situations. A controlled lab-based video experiment was conducted, involving 27 participants who performed distance estimations and last safe gap selections using a simulated side-view mirror display. Participants viewed prerecorded driving scenarios with varying combinations of field of view (40°, 76°, 112°) and camera heights (1 meter, 2.3 meter). No significant effects were found for camera height, but wider field of views led to more accurate distance estimations. However, the use of a wider field of view also increased the risk of potentially dangerous overestimations of distance, as evidenced by the last safe gap results. This suggests that a wider field of view leads to the selection of smaller and potentially risky gaps. Conversely, narrow field of views resulted in underestimations of distance, potentially leading to overly cautious and less efficient driving decisions. These findings inform Camera Monitor Systems design guidelines on how to improve driver perception and road safety, to reduce accidents from vehicle distance misjudgments.
Place, publisher, year, edition, pages
Society for Imaging Science & Technology , 2025. Vol. 37, article id 199
National Category
Transport Systems and Logistics Computer graphics and computer vision Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-372753DOI: 10.2352/EI.2025.37.11.HVEI-199Scopus ID: 2-s2.0-105019037415OAI: oai:DiVA.org:kth-372753DiVA, id: diva2:2013500
Conference
IS and T International Symposium on Electronic Imaging 2025: Human Vision and Electronic Imaging, HVEI 2025, Burlingame, United States of America, Feb 2 2025 - Feb 6 2025
Note
QC 20251113
2025-11-132025-11-132025-11-13Bibliographically approved