Road Obstacle Detection Using Robust Model Fitting
Awareness of pedestrians, other vehicles, and other road obstacles is key to driving safety, and so their detection is a critical need in driver assistance research. We propose using a model-based approach which can either directly segment the disparity to detect obstacles or remove the road regions from an already segmented disparity map. We developed two methods for segmentation: first, by directly segmenting obstacles from the disparity map; and, second by using morphological operations...[Show more]
|Collections||ANU Research Publications|
|Source:||Field and Service Robotics: Results of the 5th International Conference|
|01_Gheissari_Road_Obstacle_Detection_Using_2006.pdf||42.25 kB||Adobe PDF||Request a copy|
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