DRIVEN by advancements in artificial intelligence technologies such as deep learning,core intelligent driving technologies like advanced driver assistance systems(ADAS)have made significant advances.Some advanced ADAS...DRIVEN by advancements in artificial intelligence technologies such as deep learning,core intelligent driving technologies like advanced driver assistance systems(ADAS)have made significant advances.Some advanced ADAS systems,particularly in highway scenarios,have reached or even surpassed human drivers in terms of precision and reliability[1].This mainstream development path is based on a replacement paradigm,whose central goal is to relieve human drivers of monotonous,repetitive tasks such as highway commuting,maximizing traffic efficiency and safety[2].This paradigm aims to replace error-prone human operators with a tireless,consistent machine intelligence.展开更多
基金supported in part by the Science and Technology Development Fund,Macao Special Administrative Region(SAR)(0145/2023/RIA3)in part by the DeSciCPI Project from the Obuda University,Hungary.
文摘DRIVEN by advancements in artificial intelligence technologies such as deep learning,core intelligent driving technologies like advanced driver assistance systems(ADAS)have made significant advances.Some advanced ADAS systems,particularly in highway scenarios,have reached or even surpassed human drivers in terms of precision and reliability[1].This mainstream development path is based on a replacement paradigm,whose central goal is to relieve human drivers of monotonous,repetitive tasks such as highway commuting,maximizing traffic efficiency and safety[2].This paradigm aims to replace error-prone human operators with a tireless,consistent machine intelligence.
