Publication Date: 2023/07/15
Abstract: Autonomous vehicles have the potential to revolutionize transportation by leveraging artificial intelligence (AI) technologies to navigate and operate without human intervention. This research paper provides a comprehensive study of AI applications in autonomous vehicles, focusing on perception, decision- making, path planning, and safety considerations. The study aims to explore the state-of-the-art techniques, challenges, and future directions in each of these domains. Through an extensive review of research literature and case studies, this paper highlights the crucial role of AI in enabling safe and efficient autonomous driving.
Keywords: AI in Autonomous Vehicles, Perception Systems, Computer Vision, Object Detection, Sensor Fusion, Object Recognition, Multi-Object Tracking, Evaluation Of Perception Systems, Decision-Making Algorithms, Reinforcement Learning, Rule-Based Systems, Expert Systems, Probabilistic Models, Ethical Considerations, Transparency In Decision-Making, Path Planning Techniques, Trajectory Optimization, Constraints And Challenges In Path Planning, Real-Time Path Planning Algorithms, Validation And Evaluation Of Path Planning Algorithms, Risk Assessment, Mitigation Strategies, Fault Detection, Recovery Mechanisms, Human-Machine Interaction, Safety Considerations, Adversarial Attacks, Robustness Testing, Legal And Regulatory Frameworks, Case Studies, Real-World Applications, Impact On Transportation Infrastructure, Impact On Society, Emerging Trends And Technologies, Data Privacy, Security Considerations, Scalability, Real-Time Performance, Socio- Ethical Implications, Collaboration Between Industry, Academia, And Regulators.
DOI: https://doi.org/10.5281/zenodo.8149710
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23JUN1476.pdf
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