[PDF][PDF] Towards context-aware road user safety systems: Design explorations using eye-tracking, object detection, and GPT-4V

V Onkhar, L Kumaaravelu, D Dodou, JCF De Winter - 2024 - researchgate.net
With the rise of generative AI, it is important to identify the opportunities and limitations of
applying this technology to road safety applications. The current research explores the …

Road Hazard Stimuli: Annotated naturalistic road videos for studying hazard and scene perception

J Song, B Wolfe, A Kosovicheva - 2023 - psyarxiv.com
Driving requires vision, yet there is little empirical data about how vision and cognition
support safe driving. It is difficult to study perception during natural driving because the …

Did you see me? assessing perceptual vs. real driving gains across multi-modal pedestrian alert systems

C Merenda, H Kim, JL Gabbard, S Leong… - Proceedings of the 9th …, 2017 - dl.acm.org
In-vehicle support systems have the potential to reduce the risk of pedestrian collisions and
promote gains in braking performance and visual attention when scanning for threats on the …

Driver information system: a combination of augmented reality, deep learning and vehicular Ad-hoc networks

L Abdi, A Meddeb - Multimedia Tools and Applications, 2018 - Springer
Improving traffic safety is one of the important goals of Intelligent Transportation Systems
(ITS). In vehicle-based safety systems, it is more desirable to prevent an accident than to …

NAVIBox: Real-Time Vehicle–Pedestrian Risk Prediction System in an Edge Vision Environment

H Lee, H Cho, B Noh, H Yeo - Electronics, 2023 - mdpi.com
This study introduces a novel system, termed NAVIBox, designed to proactively identify
vehicle–pedestrian risks using vision sensors deployed within edge computing devices in …

Computer vision systems for “context-aware” active vehicle safety and driver assistance

P Boyraz, X Yang, JHL Hansen - Digital signal processing for in-vehicle …, 2012 - Springer
Recent developments of information technology and mobile lifestyle have forced drivers to
multitask while they drive. The in-vehicle “infotainment” technology is already taking its place …

Driver gaze fixation and pattern analysis in safety critical events

H Bhagat, S Jain, L Abbott, A Sonth… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Driver attention is one of the major factors for roadway safety. This paper presents a
comprehensive analysis of context-aware driver gaze behavior using large-scale naturalistic …

Road Hazard Stimuli: Annotated naturalistic road videos for studying hazard detection and scene perception

J Song, A Kosovicheva, B Wolfe - Behavior research methods, 2023 - Springer
Driving requires vision, yet there is little empirical data about how vision and cognition
support safe driving. It is difficult to study perception during natural driving because the …

Accidentgpt: Accident analysis and prevention from v2x environmental perception with multi-modal large model

L Wang, H Jiang, P Cai, D Fu, T Wang, Z Cui… - arXiv preprint arXiv …, 2023 - arxiv.org
Traffic accidents, being a significant contributor to both human casualties and property
damage, have long been a focal point of research for many scholars in the field of traffic …

Toward prediction of driver awareness of automotive hazards: Driving-video-based simulation approach

H Kim, JL Gabbard, S Martin… - Proceedings of the …, 2019 - journals.sagepub.com
Automated vehicles need to monitor not only the dynamic driving environment but also the
human driver's behavior for appropriate assistance or intervention. One such challenge in …