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
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;
Conference_Titel :
Data Fusion Symposium, 1996. ADFS '96., First Australian
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3601-1
DOI :
10.1109/ADFS.1996.581080
