Advantages in Crash Severity Prediction Using Vehicle to Vehicle Communication

Proceedings - 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2015

Volumn , Issue , 2015, Pages 112-117

  Böehmläender, Dennis ^a,e   Hasirlioglu, Sinan ^a   Yano, Vitor ^b,d   Lauerer, Christian ^a   Brandmeier, Thomas ^a   Zimmer, Alessandro ^c,d  

^a TECHNISCHE HOCHSCHULE INGOLSTADT   (Germany)

^b UNIVERSITY OF CAMPINAS   (Brazil)

^c Institute of Technology for Development   (Brazil)

^d FEDERAL UNIVERSITY OF PARANÁ   (Brazil)

^e DE MONTFORT UNIVERSITY   (United Kingdom)

Author keywords

crash severity; Sensor Fusion; Target Tracking; time to collision; vehicle to vehicle (V2V) communication

Indexed keywords

ACCIDENTS; AD HOC NETWORKS; CHEMICAL ACTIVATION; CRASHWORTHINESS; FORECASTING; RANGE FINDERS; TARGET TRACKING; VEHICLES; VIDEO CAMERAS;

COLLISION PREDICTION; CRASH SEVERITY; EXTEROCEPTIVE SENSOR; LASER RANGE FINDERS; PROPOSED ARCHITECTURES; SENSOR FUSION; TIME TO COLLISION; V2V COMMUNICATIONS;

VEHICLE TO VEHICLE COMMUNICATIONS;

EID: 84957634313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSN-W.2015.23     Document Type: Conference Paper

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