V2V/V2I augmented maps : state-of-the-art and contribution to real-time crash risk assessment
Data(s) |
01/06/2010
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Resumo |
A number of advanced driver assistance systems (ADAS) are currently being released on the market, providing safety functions to the drivers such as collision avoidance, adaptive cruise control or enhanced night-vision. These systems however are inherently limited by their sensory range: they cannot gather information from outside this range, also called their “perceptive horizon”. Cooperative systems are a developing research avenue that aims at providing extended safety and comfort functionalities by introducing vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) wireless communications to the road actors. This paper presents the problematic of cooperative systems, their advantages and contributions to road safety and exposes some limitations related to market penetration, sensors accuracy and communications scalability. It explains the issues of how to implement extended perception, a central contribution of cooperative systems. The initial steps of an evaluation of data fusion architectures for extended perception are exposed. |
Formato |
application/pdf |
Identificador | |
Publicador |
The Canadian Association of Road Safety Professionals |
Relação |
http://eprints.qut.edu.au/39123/1/c39123.pdf http://www.carsp.ca/cmrsc.htm Demmel, Sebastien, Gruyer, Dominique, & Rakotonirainy, Andry (2010) V2V/V2I augmented maps : state-of-the-art and contribution to real-time crash risk assessment. In Proceedings of 20th Canadian Multidisciplinary Road Safety Conference, The Canadian Association of Road Safety Professionals, Hilton Niagara Falls, Ontario. |
Direitos |
Copyright 2010 The Canadian Association of Road Safety Professionals |
Fonte |
Centre for Accident Research & Road Safety - Qld (CARRS-Q); Faculty of Health; Institute of Health and Biomedical Innovation |
Palavras-Chave | #090204 Automotive Safety Engineering #Extended perception #Cooperative collision warning #Vehicle-to-Vehicle #Vehicle-to-Infrastructure |
Tipo |
Conference Paper |