首页|Findings from Northeast Forestry University Yields New Data on Intelligent Trans port Systems (Driver Behaviour Recognition Based On Recursive All-pair Field Tra nsform Time Series Model)
Findings from Northeast Forestry University Yields New Data on Intelligent Trans port Systems (Driver Behaviour Recognition Based On Recursive All-pair Field Tra nsform Time Series Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Transportation - Intelligent Tra nsport Systems have been presented. Accordingto news originating from Heilongji ang, People’s Republic of China, by NewsRx correspondents, researchstated, “To standardize driver behaviour and enhance transportation system safety, a dynamic driver behaviourrecognition method based on the Recurrent All-Pairs Field Tran sforms (RAFT) temporal model isproposed. This study involves the creation of tw o datasets, namely, Driver-img and Driver-vid, includingdriver behaviour images and videos across various scenarios.”
HeilongjiangPeople’s Republic of ChinaAsiaIntelligent Transport SystemsTransportationNortheast Forestry Univer sity
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