Authors :
Nikhil Awasthi
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/5n74srf5
DOI :
https://doi.org/10.5281/zenodo.8149710
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.
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.
