Title :
A priori information to improve tracking for traffic monitoring
Author :
Behrendt, Ramona
Author_Institution :
Smart Microwave Sensors, Braunschweig, Germany
Abstract :
In this paper a 24 GHz radar sensor is considered for road traffic monitoring applications. A classical tracking procedure based on a Kalman filter has some accuracy limitations in curve situations. To overcome this situation some a priori information about the local road position will be provided into the tracking system. Especially the lanes and their orientation are then known beforehand and this information will be used for the advanced tracking procedure. The performance figures of the two tracking procedures will be calculated and compared. Additionally, a decision process will be designed for road intersections.
Keywords :
Kalman filters; image sensors; object detection; object tracking; radar imaging; road traffic; traffic engineering computing; Kalman filter; frequency 24 GHz; local road position; radar sensor; road intersections; road traffic monitoring applications; tracking improvement; traffic object detection; Accuracy; Radar tracking; Roads; Splines (mathematics); Target tracking;
Conference_Titel :
Radar Symposium (IRS), 2015 16th International
Conference_Location :
Dresden
DOI :
10.1109/IRS.2015.7226289
