Title :
Simultaneous estimation of vehicle dynamics and lane features for road safety applications
Author :
Weigel, Hendrik ; Wanielik, Gerd
Author_Institution :
Dept. of Commun. Eng., Chemnitz Univ. of Technol., Chemnitz, Germany
Abstract :
The objective of the proposed algorithm is to estimate the horizontal ego motion and the current pitch angle of a road vehicle at each point in time during its movement. The knowledge of these dynamics helps to improve the reliability and stability of a lane recognition algorithm. We realize this with a monochrome camera and conventional odometry data from the vehicle´s CAN bus. For a vanishing point estimation a purely image based algorithm is applied. To associate the vanishing point of the image plane and the vehicle pitch angle, knowledge about their geometric relationship is necessary. We show a way to create this relation, to determine the current vehicle pitch angle and, to update the relation itself accordingly. Finally, the results of the data fusion with the supported lane detection are shown.
Keywords :
object recognition; road safety; vehicle dynamics; data fusion; horizontal ego motion; image based algorithm; image plane; lane features; lane recognition algorithm; monochrome camera; odometry data; road safety applications; road vehicle; vehicle CAN bus; vehicle dynamics; vehicle pitch angle; Acceleration; Cameras; Image recognition; Motion estimation; Road safety; Stability; State estimation; Vehicle detection; Vehicle dynamics; Vehicles; Kalman filter; Lane Detection; ego motion; pitch angle; vanishing point;
Conference_Titel :
Information Fusion, 2009. FUSION '09. 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-9824-4380-4