AI-Powered Driver Behavior Analysis and Accident Prevention Systems for Advanced Driver Assistance
Keywords:
AI-powered driver behavior analysis, accident prevention systems, advanced driver assistance, driver monitoring technologies, real-time risk assessment, driver emotional state analysis, physical state monitoring, traffic accident reduction, sensor fusion technology, multi-modal data analysis, AI in transportation safety, driver fatigue detection, real-time intervention systems, intelligent transportation systems, driver risk profiling, behavioral pattern recognition, machine learning in driver safety, driver distraction detection, preventive safety systems, autonomous vehicle assistanceAbstract
AI-Powered Driver Behavior Analysis and Accident Prevention Systems for Advanced Driver Assistance. Over 1.3 million people die each year in traffic accidents, and an additional 20 million to 50 million sustain non-fatal injuries, nearly establishing worldwide epidemics. Traffic accidents are most often caused by mishaps by drivers significantly affected by their behavior and physical-emotional state. Major technological advancements have enabled precise driver behavior analysis and highly effective systems providing solutions for real-time monitoring and timely prevention of accidents. An in-depth review identified over 120 scientific and professional reports published during the last 25 years on driver behavior monitoring and accident prevention, and 46 patents issued during the last 15 years describing novel AI-powered systems for advanced driver assistance. These advancements were reviewed in terms of their AI powered sensor fusion, multi-modal driver behavior analysis, and real-time driving accident risk assessment. They provide comprehensive capabilities for timely accident risk prevention according to the recommendations of experienced professional drivers and other transportation specialists.
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