tailieunhanh - A Mobile-Cloud Pedestrian Crossing Guide for the Blind

A Mobile-Cloud Pedestrian Crossing Guide for the Blind includes about Attempts to Solve the Traffic Lights Detection Problem, System Components, Multi-cue Signal Detection Algorithm - A Conservative Approach and something else. | A Mobile-Cloud Pedestrian Crossing Guide for the Blind Problem Statement Crossing at urban intersections is a difficult and possibly dangerous task for the blind Infrastructure modification (such as Accessible Pedestrian Signals) not possible universally Most solutions use image processing: Inherent difficulty: Fast image processing required for locating clues to help decide whether to cross or wait demanding in terms of computational resources Mobile devices with limited resources fall short alone Crossing at urban intersections is a difficult and possibly dangerous task for the blind people, which hinders independent safe navigation. Assistive technology researchers have been working on this problem for years, but not many of the proposed solutions have been widely adopted. The currently widespread solution, which is also known as an accessible pedestrian signal (APS), uses a special sound/speech output to notify blind people about the status of a pedestrian signal at an . | A Mobile-Cloud Pedestrian Crossing Guide for the Blind Problem Statement Crossing at urban intersections is a difficult and possibly dangerous task for the blind Infrastructure modification (such as Accessible Pedestrian Signals) not possible universally Most solutions use image processing: Inherent difficulty: Fast image processing required for locating clues to help decide whether to cross or wait demanding in terms of computational resources Mobile devices with limited resources fall short alone Crossing at urban intersections is a difficult and possibly dangerous task for the blind people, which hinders independent safe navigation. Assistive technology researchers have been working on this problem for years, but not many of the proposed solutions have been widely adopted. The currently widespread solution, which is also known as an accessible pedestrian signal (APS), uses a special sound/speech output to notify blind people about the status of a pedestrian signal at an intersection. However, this solution requires installation of expensive equipment at the intersections, limiting its applicability. In order to implement this solution, an extra terminal device for controlling the speaker should be added to the current traffic lights infrastructure, and this modification requires large amounts of money as well as time. Some other proposals to solve this problem use image processing to detect the presence of different kinds of pedestrian signals in a complex scene. The major shortcoming of some of these approaches is their reliance on a cumbersome computation device, like a laptop for the necessary image processing. There are yet some others that lack the universal design principle, by limiting their training data to a specific set, and draining the battery of the mobile device by running the detection algorithm on the device. These approaches also require the user to take a picture or do a video recording at the intersection, although the picture taken by a