Autonomous Intelligent Vehicles (AIV): Research statements, open issues, challenges and road for future

The vehicle business has accomplished extraordinary outcomes in creating dependable, sheltered and reasonable vehicles throughout the only remaining century. Autonomous Vehicles (AV) are turning into a reality due to generous late improvements in Internet of Things (IoTs), Programmable Logic Controller (PLC) and correspondence innovations in computing filed. Notice that self-sufficient vehicles here are for vehicles just including transports, light vehicles, and so forth Model models have now voyaged a huge number of miles in test driving for self-ruling vehicles (under self-sufficient vehicles). This isn't a final attempt to self-governing vehicles; we have to plan Autonomous Intelligent Vehicles (AIV) that can make a compelling (for example, without hurting people) choice over the street organization. Later on, self-governing vehicles will be a reality, in any event, for commercialization, as by and by. In AIV, we face various specialized and non-specialized issues, for example, programming multifaceted nature, constant information examination and testing and confirmation. Handling these issues requires viable and prompt arrangements that meet the prerequisites, guidelines and strategies of clients, industry and government. The analysis of this work will help numerous research analysts who work in Autonomous Vehicles or Intelligent Transport Systems today and so on in near future to get better solution. •AIV is the necessity of Today’s generation for easy mobility, reduced traffic accidents over the road/ highway.•Security, Privacy, and Trust issues in the AIV are few of the critical issues.•Chips, Microchips will be used in future vehicle of tomorrow or AIV in near future at a larger scale.•Improved network performance through using AI/computer vision (using cameras efficiently) for enhancing intelligence.•Future of ITS with Emerging Technologies like AI, Blockchain, etc., will be quite interesting.