Context-Aware Driver Assistance System
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TLDR
A Context-Aware Driver Assistance System that links drivers with the physical environment surrounding them is proposed by developing a vehicular warning system that assists drivers to avoid collisions and improve their response times.About:
This article is published in Procedia Computer Science.The article was published on 2012-01-01 and is currently open access. It has received 25 citations till now. The article focuses on the topics: Vehicular communication systems & Warning system.read more
Citations
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Journal ArticleDOI
A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions
TL;DR: The VEC architecture, coupled with the concept of the smart vehicle, its services, communication, and applications are illustrated and new directions in the field of VEC are given to the other researchers.
Journal ArticleDOI
A survey on context-aware vehicular network applications
TL;DR: A classification framework with three dimensions including the environment, system-and-application, and context-awareness is proposed and is used to review the existing context-aware transportation systems for each dimension, which in turn consists of some parameters.
Proceedings ArticleDOI
An Eye-tracking Evaluation of Driver Distraction and Unfamiliar Road Signs
Stephanie Hurtado,Sonia Chiasson +1 more
TL;DR: This work explores drivers' behaviour when they encounter road signs from three countries and finds that misinterpretation occurred due to the influence of previous experience and many drivers drove at reduced speeds throughout to compensate for the anticipated cognitive load.
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Mapping and Deep Analysis of Vehicle-to-Infrastructure Communication Systems: Coherent Taxonomy, Datasets, Evaluation and Performance Measurements, Motivations, Open Challenges, Recommendations, and Methodological Aspects
Rami Qays Malik,H. A. Alsattar,Khairun Nidzam Ramli,B. B. Zaidan,A. A. Zaidan,Zahraa Hashim Kareem,Hussein Ali Ameen,Salem Garfan,Ali Ahmed Mohammed,Ruqayah Alaa Zaidan +9 more
TL;DR: This systematic review of the literature on data exchanges in the V2I communication system from the three main databases from 2008 to 2018 is aimed to help emphasize current research opportunities and thus extend and create additional research fields.
Journal ArticleDOI
A context‐aware framework for modelling and verification of smart parking systems in urban cities
TL;DR: A context‐aware parking application framework to assist drivers in finding parking slots dynamically while moving and/or arriving at the destination is proposed and optimized with bounds on computational resources for the decision support dynamically in a highly decentralized environment.
References
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Journal ArticleDOI
A survey on context-aware systems
TL;DR: Common architecture principles of context-aware systems are presented and a layered conceptual design framework is derived to explain the different elements common to mostcontext-aware architectures.
Journal ArticleDOI
Scaling up agent coordination strategies
TL;DR: The paper discusses agent coordination and dimensions of coordination stress and explains how well an intelligent agent coordination strategy scales along various dimensions of stress.
Proceedings ArticleDOI
An Architecture for Situation-Aware Driver Assistance Systems
TL;DR: The architecture for driver assistance systems that is aware of uncertain situational information in order to prevent accidents and reduce the number of traffic fatalities is provided and the concepts of utility-based knowledge exchange based on the consideration of other partners' knowledge are introduced.
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Designing an integrated driver assistance system using image sensors
TL;DR: A novel design of an integrated camera-based ADAS that puts technologies—such as five ordinary CMOS image sensors, a digital image processor, and a thin display—into a smart system to offer a dozen advanced driver assistance functions is proposed.
Design of context-aware systems for vehicles using complex system paradigms.
TL;DR: In this article, the authors propose a context-aware design which considers the driver, vehicle, and environment as a whole to assist the driver in augmenting the probability of undertaking safe behavior.