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In this paper the concept of Bayesian Networks (BN) is applied to the problem of traffic data acquisition by data fusion. Two wireless communication based sensors are used as data sources: IEEE 802.15.1 Bluetooth and IEEE 802.11p V2X (vehicle to vehicle and vehicle to infrastructure). Via V2X so called cooperative awareness messages (CAM) are received, which provide information on vehicle location...
In this paper, we evaluate Tire Pressure Monitoring System (TPMS) for traffic management purposes. It has been shown that up to 60% of the vehicles can be detected in urban traffic environments, which makes it suitable for deriving: routes, travel times and the traffic state. In particular, the theoretical background and basic concepts are given. Furthermore, we present a simple simulation model of...
In this paper we perform the analysis of the popular TPMS (tire pressure monitoring systems) and their application for traffic management purposes. In particular, we evaluate several of the commercially available TPMS devices and analyze their architecture and communication features. Furthermore, we propose the architecture of an external sensor device used for effective eavesdropping of TPMS ID data...
A sensor system consisting of a multi layer laser scanner and a stereo camera is used to observe the surrounding environment of a vehicle. By a novel multi level fusion framework the heterogeneous sensor data can be merged on different processing levels. The following paper gives a short introduction to the processing steps of the sensor data and focuses on the lower raw level and middle object level...
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