Abstract
Door is a very significant element as it enables a person to enter a house or room. Though identifying doorway is an easy task for a regular person, for robots or visually impaired people it is a challenging task. To overcome this challenge, we have proposed a door detection method. Our proposed method is based on Prewitt edge detection method and Harris corner detector. Here, we are using a number of predefined rules to detect the doorframe correctly. To establish the robustness of our proposed method, we have formed a substantial dataset of scene images that are captured in various unfamiliar environments. Our experimental results validate that our proposed method is robust against changes in viewpoint, shapes, occlusions, illumination, colors, sizes, orientations, and textures of the door. The experimental results show that our proposed method reaches 87.45% accuracy as well as achieves lower false positive rate and lower computational time.
Highlights
Doors are regarded as one of the most significant and common markers in indoor environment
In order to evaluate the performance of our door detection method, we presented our results according to true positive rate (TPR), false positive rate (FPR) and accuracy
Our aim was to create a new navigational door detection algorithm and to help visually impaired individuals navigate through unfamiliar indoor environment
Summary
Doors are regarded as one of the most significant and common markers in indoor environment. They provide a great deal of location information and assist in localization and route planning chores. One of the key challenges for blind and visually disabled adults is moving around in unknown surroundings. Doors play an important role in delivering transfer points between segregated spaces. They can be used for sovereign navigation and self-localization by maintaining the entry and exit information among the well-regulated objects. Many autonomous and mobile applications will be benefited by an efficient and accurate door detection method, including indoor navigation and way finding for visually impaired people
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