Robotics & Machine Learning Daily News2024,Issue(Nov.25) :15-15.

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)

Konkuk大学的研究提供了机器学习的新数据(关于人类驾驶员事故与自动车辆故障的道路设计:与现实世界现场数据的比较)

Robotics & Machine Learning Daily News2024,Issue(Nov.25) :15-15.

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)

Konkuk大学的研究提供了机器学习的新数据(关于人类驾驶员事故与自动车辆故障的道路设计:与现实世界现场数据的比较)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的新研究成果已经发表。据新闻报道由NewsRx编辑从首尔南科雷A报道,研究称:“本文试图解决这个问题。”人驾驶(HD)自动驾驶系统道路设计关键因素识别问题车辆(AV)故障。这项研究对于道路的安全具有直接的重要性,必须促进商用车辆自动化技术的广泛出现。

Abstract

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.”

Key words

Konkuk University/Seoul/South Korea/A sia/Cyborgs/Emerging Technologies/Machine Learning/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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