Bridge Collision Prevention System

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Bridge Collision Prevention System

Senior Design Showcase project, Wentworth Institute of Technology, College of Engineering and Computer Science, Department of Electrical and Computer Engineering, 2020

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title: Bridge Collision Prevention System

creator: Tomas Bocova, Timothy McCusker, Nathaniel Puzey

subject: LIDAR, image processing, object recognition, vehicular safety

description: Low lying bridges and overpasses pose a significant problem for tractor-trailers, transportation vehicles and many other tall vehicles on the road. Tall vehicles exceeding the height of a low overpass, if not avoided by the operator, will collide with the overpass resulting in damage to the vehicle, the bridge, and its inventory and cause potential injury to the vehicle operator, passenger(s), and/or other near-by motorists. The idea proposed is a driver assistance system that will audibly alert the driver when they are approaching a low overpass that doesn’t meet the known height requirement for the vehicle to fit under. The system determines, through image processing along with LIDAR and radar sensing, the height of an upcoming overpass and decides whether to alert the vehicle operator. Image processing is used to detect road signs through TensorFlow object detection software and then Tesseract Optical Character Recognition Software to decipher traffic signs warning of the low overpass and listing its height.

publisher: The Douglas D. Schumann Library and Learning Commons, Wentworth Institute of Technology

contributor:

date: 2020

type: Poster

format: .pdf

identifier:

source:

language: eng

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rights: https://rightsstatements.org/vocab/InC/1.0/

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Bridge Collision Prevention System

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Bridge Collision Prevention System

20.ECE.99 Poster

Bridge Collision Prevention System