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035 _a.b12296715
099 9 _aAIT Caps. Proj. no.CIE-17-31
100 1 _aChandrasekara, Mawela Vidanalage T.N.
245 1 0 _aAccuracy of the lane change detection systems
260 _aPathum Thani :
_bAsian Institute of Technology,
_c2017
300 _a54 leaves :
_bill. +
_e1 online resource
490 1 _aCaps. Proj. ;
_vno. CIE-17-31
500 _aA capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Civil and Infrastructure Engineering, School of Engineering and Technology
502 _aCapstone Project (B.Sc.)-Asian Institute of Technology, 2017
520 _aLane change detection systems play vital role in nowadays. These play a prominent role to achieve the rising demand for optimum traffic management and safety improvements with rapid increase in vehicle usage. This research presents accuracy for lane change detection systems. There are five main lane change detection systems available for my research. Four companies are manufacturing these five systems and these have distinctly different interfaces. Initially data was collected, traffic camera footage was watched and then text files were read. Then identified what vehicles violated the rule, which vehicles were detected without violating rule. The system can detect vehicle type and license plate. The five data sets which were obtained for the study was analyzed using F1 score. The F1 score is a measure of a tests accuracy. A score more than 70% means system is performing optimally. Finally this research attempts to compare these systems and their advantages and disadvantages, errors and further improvements.
650 0 _aVehicles
_xDetection
_xTransportation
700 0 _aSurachet Pravinvongvuth,
_eChairperson
700 0 _aKunnawee Kanitpong,
_eExamination committee
810 2 _aAsian Institute of Technology.
_tCaps. Proj. ;
_vno. CIE-17-31
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B14041
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