首页|Research from Konkuk University Provides New Data on Machine Learning (Road Desi gn on Human Driver Accidents Versus Automated Vehicle Failures: Comparison With Real-World Field Data)

Research from Konkuk University Provides New Data on Machine Learning (Road Desi gn on Human Driver Accidents Versus Automated Vehicle Failures: Comparison With Real-World Field Data)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting out of Seoul, South Kore a, by NewsRx editors, research stated, “This paper attempts to solve theproblem of identifying the critical factors of road design on human driver (HD) acciden ts and automatedvehicle (AV) failures. This study is of immediate importance fo r the safety of the road, which mustfacilitate the wide emergence of commercial ized vehicle automation technologies.”

Konkuk UniversitySeoulSouth KoreaA siaCyborgsEmerging TechnologiesMachine LearningTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.25)