首页|Researcher from Dalian University of Technology Details Findings in Machine Learning (Research on Pedestrian Crossing Decision Models and Predictions Based on Machine Learning)
Researcher from Dalian University of Technology Details Findings in Machine Learning (Research on Pedestrian Crossing Decision Models and Predictions Based on Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial intelligence have been published. According to newsreporting from Dalian, People’s Republic of China, by NewsRx journalists, research stated, “Systematicallyand comprehensively enhancing road traffic safety using artificial intelligence (AI) is of paramountimportance, and it is gradually becoming a crucial framework in smart cities.”Financial supporters for this research include National Natural Science Foundation of China.The news correspondents obtained a quote from the research from Dalian University of Technology:“Within this context of heightened attention, we propose to utilize machine learning (ML) to optimize andameliorate pedestrian crossing predictions in intelligent transportation systems, where the crossing processis vital to pedestrian crossing behavior. Compared with traditional analytical models, the applicationof OpenCV image recognition and machine learning methods can analyze the mechanisms of pedestriancrossing behaviors with greater accuracy, thereby more precisely judging and simulating pedestrian violationsin crossing.”
Dalian University of TechnologyDalianPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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