TY - GEN
T1 - Comparing two methods of object detection in autonomous vehicle
AU - Rosas-Miranda, Dario Ivan
AU - Ponomaryov, Volodymyr
AU - Palacios-Enríquez, Alfredo Eduardo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Disparity map
KW - Object detection
KW - Stereo vision
UR - http://www.scopus.com/inward/record.url?scp=84938819441&partnerID=8YFLogxK
U2 - 10.1109/ICEEE.2014.6978279
DO - 10.1109/ICEEE.2014.6978279
M3 - Contribución a la conferencia
AN - SCOPUS:84938819441
T3 - 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014
BT - 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014
Y2 - 29 September 2014 through 3 October 2014
ER -