Performance analysis of robust road sign identification
نویسندگان
چکیده
منابع مشابه
Analysis and Predictive Modeling of Road Sign Retroreflectivity Performance
The Louisiana Department of Transportation and Development (DOTD) has over 400,000 traffic signs in its inventory. These signs vary widely by their sheeting grade, age, color, orientation, and proximity to the roadway edge. In a typical year the DOTD replaces about 60,000 of these signs because they are beyond their service life or have been damaged. Currently, the DOTD does not have a systemat...
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Introduction: as a component of the urban landscape, road sign systems are among the most critical elements of urban environments. Generally speaking, the written signs dominate the design of these systems. These signs can also foster aesthetic and visual pleasure compellingly and innovatively. Furthermore, they perpetuate a specific image in the minds of their observers. This research seeks to...
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Deep Neural Networks are built to generalize outside of training set in mind by using techniques such as regularization, early stopping and dropout. But considerations to make them more resilient to adversarial examples are rarely taken. As deep neural networks become more prevalent in mission critical and real time systems, miscreants start to attack them by intentionally making deep neural ne...
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This paper describes a method for detecting and recognizing road signs in grey-level and colour images acquired by a single camera mounted on a moving vehicle. The method works in three stages. First, the search for the road sign is reduced to a suitable region of the image by using some a priori knowledge on the scene or colour clues (when available). Secondly, a geometrical analysis of the ed...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2013
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/53/1/012017