Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1098
Title: Estimation of automotive target trajectories by Kalman filtering [articol]
Authors: Macaveiu, Adrian
Câmpeanu, Andrei
Naforniţă, Ioan
Subjects: Tracking
Kalman filter
Automotive radar
Issue Date: 2013
Publisher: Timișoara : Editura Politehnica
Citation: Macaveiu, Adrian. Estimation of automotive target trajectories by Kalman filtering. Timişoara: Editura Politehnica, 2013
Series/Report no.: Seria electronică şi telecomunicaţii;Tom 58(72), fasc. 1 (2013)
Abstract: 24- and 77-GHz automotive radar sensors have been introduced into series production by car manufacturers. An application aiming to increase traffic safety consists in detecting and tracking Vulnerable Road Users (VRU) and vehicles in front of the car. This is achieved by using a single 24-GHz radar sensor, capable of measuring range, radial velocity and azimuth angle even in multiple target scenarios. In this paper a signal processing algorithm for target tracking is presented. Target position and speed in Cartesian coordinates are estimated with the aid of a Kalman filter. The work is developed under the FP7 EC funded project ARTRAC.
URI: http://localhost:8080/xmlui/handle/123456789/1098
Appears in Collections:Articole stiintifice/Scientific articles

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