DocumentCode
3416174
Title
Object detection in traffic scenes by a colour video and radar data fusion approach
Author
Heisele, B. ; Neef, H. ; Ritter, W. ; Schneider, R. ; Wanielik, G.
Author_Institution
Res. Center, Daimler-Benz AG, Ulm, Germany
fYear
1996
fDate
21-22 Nov 1996
Firstpage
48
Lastpage
52
Abstract
Object detection is one of the key functions in autonomous driving. For this purpose different sensor types-such as laser or millimeter-wave (MMW) radar-are in use but most systems are solely based on vision (Thomanek et al., 1994). In contrast, this paper presents a data fusion approach for joint radar video object detection
Keywords
automated highways; image colour analysis; image sensors; object detection; radar computing; radar imaging; sensor fusion; traffic engineering computing; autonomous driving; colour video; laser; millimeter-wave radar; object detection; radar data fusion approach; radar video object detection; sensor; traffic scenes; Color; Image segmentation; Laser radar; Layout; Object detection; Radar imaging; Robustness; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Fusion Symposium, 1996. ADFS '96., First Australian
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-3601-1
Type
conf
DOI
10.1109/ADFS.1996.581080
Filename
581080
Link To Document