Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in an increased risk of accidents. There are diverse factors that can cause mistakes in driving such as unfamiliarity with the road, situation unawareness, fatigue, stress, and drowsiness. In emerging smart cars, sensing, actuation, advanced signal processing and machine learning are deployed to reduce the impact of driving errors by monitoring the state of the driver in real-time, detecting the mistakes, and deploying necessary actions to counteract them. Such strategies are collectively known as human-machine shared driving. Towards a better understanding of the developments taken place in this domain, as well as identifying gaps and trends in this discipline, a systematic review of the major studies and developments reported in the literature is conducted. The study is based on 155 papers of human-machine shared driving, selected through a thorough and comprehensive search of the literature.
/PRNewswire/ The "United States Automotive Technicians Choice Survey, 2021" report has been added to ResearchAndMarkets.com s offering. This study covers.
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Introduction Chinese President Xi Jinping has identified the recruitment and retention of top-notch human capital as key to the People’s Liberation Army’s (PLA) transformation into a “world-class military” by mid-century. In late January 2022, under Xi’s guidance as chairman, China’s Central Military Commission (CMC) issued its “Decision on Strengthening Military Talent Work in the New Era” (关于加强新时代军队人才工作的决定, Guanyu jiaqiang xin …