Study Findings on Support Vector Machines Are Outlined in Reports from Chongqing Jiaotong University (Sparse Least Squares Support Vector Machine Based Methods for Vehicle Driving Behavior Recognition)
Study Findings on Support Vector Machines Are Outlined in Reports from Chongqing Jiaotong University (Sparse Least Squares Support Vector Machine Based Methods for Vehicle Driving Behavior Recognition)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Support Vector Machines. According to newsreporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents, researchstated, “Intelli gent vehicles are expected to accurately recognize the driving intentions of sur roundingvehicles so as to precisely identify the hazards to automatic driving a nd accomplish reasonable motionplanning. This paper introduces a model for vehi cles driving behavior recognition (VDBR) based onSparse Least Squares Support V ector Machine (S-LSSVM) by means of machine learning methods, withthe subject v ehicle and its surrounding vehicles as the research subject.”
Key words
Chongqing/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Ma chines/Chongqing Jiaotong University
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