2008 3rd International Symposium on Wireless Pervasive Computing 2008
DOI: 10.1109/iswpc.2008.4556313
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Prototype of pedestrian-to-vehicle communication system for the prevention of pedestrian accidents using both 3G wireless and WLAN communication

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Cited by 62 publications
(61 citation statements)
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“…In this case, this form of road safety campaign has been vigorously researched, with most of the modern cars being equipped with motion detection softwares together with automatic braking systems. Likewise, Sugimoto et al [22] explained that most of the invented wireless local area connection communication systems are used to alert pedestrians, thus warning them of collision risk.…”
Section: Smart Transport For Modern Citiesmentioning
confidence: 99%
“…In this case, this form of road safety campaign has been vigorously researched, with most of the modern cars being equipped with motion detection softwares together with automatic braking systems. Likewise, Sugimoto et al [22] explained that most of the invented wireless local area connection communication systems are used to alert pedestrians, thus warning them of collision risk.…”
Section: Smart Transport For Modern Citiesmentioning
confidence: 99%
“…Up to now, standardisation activities have put a strong focus on V2V and V2I communications, especially in Europe [25]- [27], and specified IEEE 802.11p [28] for vehicular communication. V2P has recently appeared as a specific communication mode due to the strong requirement on communication delay and energy consumption at the VRUs side [21], [23], [29], and, it is not yet standardized.…”
Section: B Communication Based Vru Protectionmentioning
confidence: 99%
“…The upper equation of (5) indicates that the detection probability can be smaller than 1 for the range shorter than the FOV, if the mean obstacle width, µ(d), is smaller than the minimum requirement, i.e., the width of the impact cluster w min . Specifically, standard method for obstacle detection is to gather consecutive laser impacts and select representative clusters containing more than N b min points.…”
Section: B Pedestrian Detection Probabilitymentioning
confidence: 99%