Door Detection Algorithm for Autonomous Navigation Robot Based on Computer Vision
Xiang Chen · 2012
Door detection problem in Autonomous navigation robot was studied.For robot autonomous navigation area,no-visual sensor is not suitable for closed door detection,so the major work is how to effectively improve the indoor door detection's location.According to indoor door shape characteristic,this paper put forward a computer vision based autonomous navigation robot door detection algorithm.Algorithm only needs monocular vision image collection.According to the height,width and the characteristics of the shape of the door,the door detection can be realized.In the detecting process of,of the door features,the improved linear detection algorithm was used with high detection speed and high efficiency.The experimental results show that this method can be applied in not only a single background of doors,but also the more complex background.The door detection is effective and more robust.Therefore,it has great application value for robot autonomous navigation of home intelligence service.