A vision-based method for on-road truck height measurement in proactive prevention of collision with overpasses and tunnels

Abstract

Over-height trucks are continuously striking low clearance overpasses and tunnels. This has led to significant damage, fatalities, and inconvenience to the public. Smart systems can automatically detect and warn oversize trucks, and have been introduced to provide the trucks with the opportunity to avoid a collision. However, high cost of implementing these systems remains a bottleneck for their wide adoption. This paper evaluates the feasibility of using computer vision to detect over-height trucks. In the proposed method, video streams are collected from a surveillance camera attached on the overpass/tunnel, and processed to measure truck heights. The height is measured using line detection and blob tracking which locate upper and lower points of a truck in pixel coordinates. The pixel coordinates are then translated into 3D world coordinates. Proof-of-concept experiment results signify the high performance of the proposed method and its potential in achieving cost-effective monitoring of over-height trucks in the transportation system. The limitations and considerations of the method for field implementation are also discussed.

Fiber Bragg Grating Sensors-Based In Situ Monitoring and Safety Assessment of Loess Tunnel

“…Geotechnical structures, such as dam, slope, foundation, and tunnel, are frequently subjected to dynamic loadings for instances seismic and construction loadings, which may result in structure deterioration or failure. Construction measurement plays an essential role in tunnel safety assessment, which provides not only in situ construction safety information but also valuable data for theory and practice research [1][2][3]. In the last decades, various monitoring instruments had been developed for tunnelling, such as laser displacement sensors (LDS), linear variable differential transformer (LVDT), dial gauges, and vision based systems [4][5][6].…”

The study of technological prevention method of road accident related to driver and vehicle

“…Other than that, occurrence crashes of over-height trucks with overpasses and tunnels have been continuously reported over the years [10]. Even though the frequency of this crash might not be thought significant, the costs they involve are very high.…”

“…This has led to significant damage, deaths and inconvenience to the public. Smart systems can automatically detect and warn oversize trucks and have been introduced to provide the trucks with the opportunity to avoid a crash [10]. "It (figures out the worth, amount or quality of) the (ability to actually be done) of using computer vision to detect over-height trucks.…”

“…This has led to significant damage, deaths and inconvenience to the public. Smart systems can automatically detect and warn oversize trucks and have been introduced to provide the trucks with the opportunity to avoid a crash [10].…”

Extensions of principle component analysis with applications on vision based computing

“…Increasing number of practical utilizations, such as vision based robotics control [58,71,80,108,111,122], surveillance [3,21,25,38,41,89,94,125], navigation [27,32,46,53,70,90,100,121], and electronics in consumer related fields [9,40,49,65,84,113,119], provide applied scenarios for the vision based computation. Most of these applications can be technically attributed into several typical technologies with respect to vision based computation.…”