Title :
Comparing two methods of object detection in autonomous vehicle
Author :
Rosas-Miranda, Dario Ivan ; Ponomaryov, Volodymyr ; Palacios-Enriquez, Alfredo Eduardo
Author_Institution :
ESIME, Inst. Politec. Nac., Mexico City, Mexico
fDate :
Sept. 29 2014-Oct. 3 2014
Abstract :
Autonomous obstacle avoidance in mobile robots has been an active field in image processing and control theory. In this paper, we propose and evaluate two methods for multiple objects detection for a mobile robot in outdoor. The first method uses a block matching algorithm to obtain a disparity map and SURF features detector. The second method uses a semi-global stereo vision environment. Both methods are tested during detecting pedestrian, boxes and cones using a video sequence in validation of a robot.
Keywords :
collision avoidance; feature extraction; image matching; image sequences; mobile robots; object detection; robot vision; stereo image processing; video signal processing; SURF features detector; autonomous obstacle avoidance; autonomous vehicle; block matching algorithm; box detection; cone detection; control theory; disparity map; image processing; mobile robots; object detection; pedestrian detection; semi-global stereo vision environment; speeded-up robust features; video sequence; Algorithm design and analysis; Detectors; Feature extraction; Mobile robots; Mutual information; Object detection; Robustness; Disparity Map; Object Detection; Stereo Vision;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control (CCE), 2014 11th International Conference on
Conference_Location :
Campeche
Print_ISBN :
978-1-4799-6228-0
DOI :
10.1109/ICEEE.2014.6978279
