2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) 2016
DOI: 10.1109/itsc.2016.7795885
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P2V and V2P communication for Pedestrian warning on the basis of Autonomous Vehicles

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Cited by 99 publications
(57 citation statements)
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“…Hence, in addition to the safety measures to protect vehicle occupants, determined efforts have to be done to implement specific measures to prevent fatalities and injuries of VRUs, such as cyclists and pedestrians, is needed to protect users outside of the vehicle [59]. Current pedestrian detection is based on advanced driver assistance systems (ADAS) with onboard sensors, such as cameras, radar and LIDAR, to detect the presence of VRUs [60,61].…”
Section: Pedestrian Detectionmentioning
confidence: 99%
“…Hence, in addition to the safety measures to protect vehicle occupants, determined efforts have to be done to implement specific measures to prevent fatalities and injuries of VRUs, such as cyclists and pedestrians, is needed to protect users outside of the vehicle [59]. Current pedestrian detection is based on advanced driver assistance systems (ADAS) with onboard sensors, such as cameras, radar and LIDAR, to detect the presence of VRUs [60,61].…”
Section: Pedestrian Detectionmentioning
confidence: 99%
“…It has to be mentioned that the majority of the authors tried to tackle non-line-of-sight and blind spots, where the driver's view is limited due to buildings, vehicles and other obstacles. The majority of research was carried out in 2014 [14,[19][20][21], in 2016 [1,[22][23][24][25][26] and in 2017 [27][28][29]. Moreover, most of the V2P developments used several sensors data fusion techniques [1,19,21,22,24,26,27,30], while some of them [20,31] discussed methods to predict VRU next move/short path and some others presented collision avoidance systems [23,26,32].…”
Section: Vehicle To Pedestrians (V2p) Systems-developmentsmentioning
confidence: 99%
“…As previously mentioned, communication protocols that make the interaction of driverless vehicles and VRUs possible are necessary to foster trust in the automation [9]. A lot of literature has been dedicated to the study and interpretation of pedestrian behavior as they interact with vehicles.…”
Section: Related Workmentioning
confidence: 99%