Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities

Intelligent Automation (IA) in automobiles combines robotic process automation and artificial intelligence, allowing digital transformation autonomous vehicles. IA can completely replace humans with better safety intelligent movement of This work surveys those recent methodologies their comparative analysis, which use machine learning, IoT With the shift from manual to automation, there is a need understand risk mitigation technologies. Thus, this standards challenges associated vehicles context object detection, cybersecurity, V2X privacy. Additionally, conceptual technology risks benefits are listed study consideration intelligence as an essential factor handling futuristic Researchers organizations innovating efficient tools frameworks for In survey, in-depth analysis design techniques AI IoT-based was conducted. Furthermore, electric vehicle functionality also covered its applications. The real-life applications truck, bus, car, shuttle, helicopter, rover, underground various countries elaborated. supply chain management manufacturing industry included survey. advancements using deep reinforcement statistical techniques, presented analysis. important future directions offered order indicate areas potential that may be carried out enhance cars future.