TY - GEN
T1 - Preliminary study on vehicle-to-roadside system using RFIDs for detecting road shoulders
AU - Togashi, Hiroaki
AU - Yamada, Shigeki
PY - 2009/11/20
Y1 - 2009/11/20
N2 - Annual Statistics on car accident" reveals that driver's error is one of the major causes of car accidents on curved roads and some of they can be classified into crashes on road shoulders. Car vendors have developed some lane keeping assist systems (LKAS) to prevent vehicles from straying into other lanes or straying off the road. These systems mainly use lane recognition schemes based on image processing and they suffer from poor visibility problems. To solve this problem, we are investigating a lane keeping assist system that uses RFIDs. We constructed a mathematical model that takes a vehicle's movement into consideration, and evaluated the effectiveness of the system based on this model. The evaluation showed that the system can give drivers effective warnings to prevent their cars from straying onto road shoulders if RFIDs are placed at 5-meter intervals on the shoulders.
AB - Annual Statistics on car accident" reveals that driver's error is one of the major causes of car accidents on curved roads and some of they can be classified into crashes on road shoulders. Car vendors have developed some lane keeping assist systems (LKAS) to prevent vehicles from straying into other lanes or straying off the road. These systems mainly use lane recognition schemes based on image processing and they suffer from poor visibility problems. To solve this problem, we are investigating a lane keeping assist system that uses RFIDs. We constructed a mathematical model that takes a vehicle's movement into consideration, and evaluated the effectiveness of the system based on this model. The evaluation showed that the system can give drivers effective warnings to prevent their cars from straying onto road shoulders if RFIDs are placed at 5-meter intervals on the shoulders.
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U2 - 10.1109/IVS.2009.5164444
DO - 10.1109/IVS.2009.5164444
M3 - Conference contribution
AN - SCOPUS:70449586984
SN - 9781424435043
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1148
EP - 1154
BT - 2009 IEEE Intelligent Vehicles Symposium
T2 - 2009 IEEE Intelligent Vehicles Symposium
Y2 - 3 June 2009 through 5 June 2009
ER -