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oai:www.repository.cam.ac.uk:1810/2718942024-06-26T13:52:57Zcom_1810_213729com_1810_256065col_1810_219485

Vision-Based Over-Height Vehicle Detection for Warning Drivers 10.17863/CAM.18902 Nguyen, Bella Brilakis, Ioannis Many older bridges and tunnels were constructed using standards by now many decades out-of-date, at a time when trucks and other large vehicles were smaller. A bridge or tunnel strike is an incidence in which a vehicle, typically a lorry (truck) or double-decker bus, tries to pass under a bridge or tunnel that is lower than its height, subsequently colliding with the structure. These strikes lead to an increased cost of bridge repairs, clogged up roadways and increased potential for catastrophic events: hazardous spillage and/or total collapse. Today, Network Rail reports on average a strike every 4.5 hours. There are a number of reasons why strikes occur, and why drivers of heavy goods vehicles sometimes fail to recognise the warning signs, consequently striking the bridge or tunnel. At first glance, it may seem like the problem is a fairly easy one to solve; however, no matter how well planned the road system, human error is an ever-present risk. The research proposes to address the problem of bridge and tunnel strike prevention and management. The intent of the research is to develop an affordable, reliable and robust early warning over-height detection system bridge-owners can implement at locations with high strike occurrences. The research aims to test and validate a novel vision-based system using a single camera to accurately detect over-height vehicles using a set of optimised parameters. The system uses a camera installed at the offending height, which acts as an “over-height plane” formed by the averages of the maximum allowable heights across all lanes in a given traffic direction. Any vehicle exceeding this plane is analysed within a region of interest using a trigger-based approach for accurate detection and driver warning. If the vehicle is deemed to be over-height, a warning is issued to the driver. As a result, prolonging life expectancy of structures while decreasing the cost of repairs, maintenance and inspections. University of Cambridge 2018-07-22 Thesis Doctoral Doctor of Philosophy (PhD) en Transport for London Cambridge Centre for Smart Infrastructure Cambridge Overseas Trust Marie Curie Staff Exchange https://www.repository.cam.ac.uk/handle/1810/271894 https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/a0a89538-8ff7-4ca0-a3d3-2b3d7df7c560/download 87eda9de84448d1f82354d60eee3eb5f https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/e90b11ae-5e81-4b5e-8bb3-9356253358a9/download c00020a7c8fe7cfc46e26a9f319eb8cd https://creativecommons.org/licenses/by-nc-nd/4.0/ bridge strike over-height vehicle bridge collision over-height detection over-height crash over-height collision low bridge low bridge strike low over-head