Future Intelligent Vehicles: Open Issues, Critical Challenges, and Research Opportunities

Abstract

AbstractIntelligent Vehicles (IVs) have become a priority for research because of their significant benefits in enhancing road safety and operational efficiency. Intelligent Vehicles have made enormous progress over the years, but they still face substantial obstacles in gaining widespread acceptance. The authors recommend, in this regard, that Intelligent Vehicles research be advanced anywhere, gradually addressing existing issues. To begin with, the most basic necessity of Intelligent Vehicles is security. The authors outline the essential technologies and problems of Intelligent Vehicles’. It includes fundamental architecture, existing attacks, and defense tactics for information security. Second, comfort is primarily concerned with people’s subjective sensations. Visual perception is the primary, which humans integrate data from the traffic environment. Visual sensors can gather the majority of the information needed to operate a vehicle. Necessitating advanced machine vision and picture interpretation approaches for visual sensing. The functional spectrum covered ranges from sophisticated automated driving to self-driving vehicles. This chapter follows the order of image processing pipelines, which consolidate the rich information and a large quantity of data in video sequences one by one. Specific items in a traffic scene are associated using recognition and classification systems. Although several Intelligent Vehicle prototypes have been constructed to demonstrate the notion of automated vehicles and the viability of enhancing traffic efficiency, there is still a considerable gap until high-level IVs can be mass-produced. The goal of this research is to provide an overview of present technologies. It will be practical in future Intelligent Vehicles, their current condition, and prospects. Reviewing all linked works and predicting their future perspectives is a strenuous endeavor, especially in such a vast and multi-disciplinary field of study.KeywordsIntelligent Transportation SystemAutonomous Intelligent VehiclesPrivacySecurityDecision-makingAdvanced Driver Assistance SystemArtificial intelligence