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SUMMARY:Vision-Based Over-Height Vehicle Detection - Bella Nguyen (Departm
 ent of Engineering)
DTSTART:20151015T121000Z
DTEND:20151015T130000Z
UID:TALK60833@talks.cam.ac.uk
CONTACT:Evros Loukaides
DESCRIPTION:Over-height vehicle drivers continuously ignore warning signs 
 and strike onto bridges despite the number of preventative methods install
 ed at low clearance bridges. Asset owners are left to remedy the damages r
 esulting in operation losses due to inspections\, temporary road closures\
 , and traffic delays. IT systems are needed that address all three key are
 as of over-height vehicle strike management: (1) prevention\, (2) detectio
 n and\, (3) reporting. In this paper we present a new method for over-heig
 ht vehicle strike prevention that replaces the transmitter\, a receiver\, 
 and loop detectors with a single calibrated camera mounted on the side of 
 the roadway. The camera is installed at the height of the “over-height p
 lane” formed by the average of the maximum allowable heights across all 
 lanes in a given traffic direction. At that height\, the over-height plane
  can be safely approximated as a line in the camera view. Any vehicle exce
 eding this line is consequently over-height. The camera position and orien
 tation is determined via a calibration process proposed. Instances of over
 -height vehicles are detected via optical flow monitoring. A prototype was
  implemented to evaluate the method’s performance. A total station was u
 sed to collect ground truth data for validating the height accuracy. Evalu
 ation of the system yielded a height accuracy of ±2.875 mm and detection 
 accuracy of 96.9 %. While its accuracy is comparable to existing laser bea
 m systems\, it outperforms them on cost which is an order of magnitude les
 s due to eliminating the need for new permanent infrastructure.
LOCATION:The Richard King Room\, Darwin College
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