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Vehicle and pedestrian collision prevention system based on smart video surveillance and C2I communication

: Becker, Daniel; Schäufele, Bernd; Einsiedler, Jens; Sawade, Oliver; Radusch, Ilja


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE 17th International Conference on Intelligent Transportation Systems, ITSC 2014. Vol.4 : Qingdao, China, 8 - 11 October 2014
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-6079-8
ISBN: 978-1-4799-6078-1
International Conference on Intelligent Transportation Systems (ITSC) <17, 2014, Qingdao/China>
Conference Paper
Fraunhofer FOKUS ()

Hundreds of thousands of pedestrians are involved in severe traffic accidents every year world-wide. Reasons for these accidents include complex and highly dynamic traffic situations where views are obstructed or unexpected movement occurs. Driver assistance systems are a valid option for increasing pedestrian safety by enhancing the awareness of complex traffic situations and identifying potential dangers. In this work, we present a collision avoidance system based on smart video surveillance and car-to-infrastructure communication. We use a distributed system of monocular cameras to determine the position of both vehicles and pedestrians in realtime. In addition, we utilize standard car-2-x communication technology (ETSI ITS G5) to provide all position detections to the vehicles, thus enabling complex use cases such as warning cascades to drivers in case of oncoming dangers. A detailed evaluation of the proposed system and collision warning use case demonstrates the suitability as assistance system for human drivers. We also show that automatic braking systems would lead to drastic performance improvements due to a significant reduction of reaction times.