DocumentCode :
3528562
Title :
Road course estimation in occupancy grids
Author :
Konrad, Marcus ; Szczot, Magdalena ; Dietmayer, Klaus
Author_Institution :
Inst. of Meas., Control, & Microtechnol., Univ. of Ulm, Ulm, Germany
fYear :
2010
fDate :
21-24 June 2010
Firstpage :
412
Lastpage :
417
Abstract :
This paper presents a novel approach for road course estimation on rural roads using a mulitlayer laser scanner. The measurements of the sensor are used to build an occupancy grid as a representation of a local map. This mapping step uses a new free space function and a novel method for detecting and eliminating moving objects. Based on this map a feature extraction algorithm yields road border feature points. A Levenberg-Marquardt based optimization fits a flexible two-part road course model to these feature points.
Keywords :
feature extraction; image motion analysis; image representation; optimisation; traffic engineering computing; Levenberg-Marquardt based optimization; feature extraction algorithm; flexible two-part road course model; free space function; local map representation; moving objects elimination; mulitlayer laser scanner; occupancy grid; occupancy grids; road border feature points; road course estimation; rural roads; Cameras; Data mining; Doppler radar; Feature extraction; Laser modes; Laser noise; Laser radar; Object detection; Radar imaging; Roads;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2010 IEEE
Conference_Location :
San Diego, CA
ISSN :
1931-0587
Print_ISBN :
978-1-4244-7866-8
Type :
conf
DOI :
10.1109/IVS.2010.5548041
Filename :
5548041
Link To Document :
بازگشت