Vehicle motion-state-estimation using distributed sensing
conference paper
Knowing the position and speed of the vehicles on the road network in real-time is one of the major challenges that vehicle control and traffic management applications are facing. Wireless sensor networks received significant attention in the last decade and successful research put them in the forefront to answer this challenge. Wireless sensor networks are a new class of observation systems with a large amount of nodes communicating with each other via a wireless network channel. In this paper such a system is used to firstly detect a vehicle and secondly estimate its motionstate. The nodes are evenly distributed in a along the road surface and each node can detect when a vehicle passes. With the known position of the individual nodes, a motion-state of the vehicle is estimated. Three state-estimators are analyzed in this paper; a synchronous Kalman filter, an asynchronous Kalman filter and a Mixture of Gaussians. After designing these state-estimators, simulations are performed to asses their performance. © 2008 IEEE.
Topics
Control system synthesisControl theoryHybrid sensorsIntelligent vehicle highway systemsKalman filtersMotor transportationNetwork managementRoads and streetsSensor networksTraffic controlDistributed sensingMixture of gaussiansObservation systemsRoad networksRoad surfacesTraffic managementsVehicle controlsVehicle motionsWireless sensor networks
TNO Identifier
241296
ISBN
9781424425693
Article nr.
No.: 4621175
Source title
2008 IEEE Intelligent Vehicles Symposium, IV, 4-6 June 2008, Eindhoven, Netherlands. Conference code: 74805
Collation
6 p.
Pages
458-463
Files
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