Vol. 4 No. 2 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

AI-Based Autonomous Vehicle Path Planning

Dr. Beatrice Kern
Professor of Information Systems, University of Applied Sciences Potsdam, Germany

Published 26-10-2024

Keywords

  • AI-Based,
  • Autonomous Vehicle,
  • Path Planning

How to Cite

[1]
D. B. Kern, “AI-Based Autonomous Vehicle Path Planning”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 62–77, Oct. 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/198

Abstract

Nowadays, society's main concern is the development of transportation technologies in a digital way. One of the major advancements in this arena is autonomous vehicles, which can perform driving processes like a human being without any human intervention. The world is on an evolutionary trend to make all such transportation systems completely driven by an artificial intelligence (AI) system. AI systems are developed with a strong inclusion of learning technologies that enable autonomous cars to understand and learn from their experiences and environments. This AI context creates a strong bridge between transportation, technology, and society to envision a new world scenario. AI-based driving systems for automobiles can be developed by implementing various AI tools and mechanisms in order to make them more intelligent. AI-based driving systems are becoming ever more advanced due to enhancements in computing systems, algorithms, data collection, and supporting systems.

Downloads

Download data is not yet available.

References

  1. Tamanampudi, Venkata Mohit. "Automating CI/CD Pipelines with Machine Learning Algorithms: Optimizing Build and Deployment Processes in DevOps Ecosystems." Distributed Learning and Broad Applications in Scientific Research 5 (2019): 810-849.
  2. Pasupuleti, Vikram, et al. "Enhancing supply chain agility and sustainability through machine learning: Optimization techniques for logistics and inventory management." Logistics 8.3 (2024): 73.
  3. Thota, Shashi, et al. "Federated Learning: Privacy-Preserving Collaborative Machine Learning." Distributed Learning and Broad Applications in Scientific Research 5 (2019): 168-190.
  4. J. Singh, “Advancements in AI-Driven Autonomous Robotics: Leveraging Deep Learning for Real-Time Decision Making and Object Recognition”, J. of Artificial Int. Research and App., vol. 3, no. 1, pp. 657–697, Apr. 2023
  5. Alluri, Venkat Rama Raju, et al. "Serverless Computing for DevOps: Practical Use Cases and Performance Analysis." Distributed Learning and Broad Applications in Scientific Research 4 (2018): 158-180.
  6. Machireddy, Jeshwanth Reddy. "Assessing the Impact of Medicare Broker Commissions on Enrollment Trends and Consumer Costs: A Data-Driven Analysis." Journal of AI in Healthcare and Medicine 2.1 (2022): 501-518.
  7. S. Chitta, S. Thota, S. Manoj Yellepeddi, A. Kumar Reddy, and A. K. P. Venkata, “Multimodal Deep Learning: Integrating Vision and Language for Real-World Applications”, Asian J. Multi. Res. Rev., vol. 1, no. 2, pp. 262–282, Nov. 2020
  8. Ahmad, Tanzeem, et al. "Hybrid Project Management: Combining Agile and Traditional Approaches." Distributed Learning and Broad Applications in Scientific Research 4 (2018): 122-145.
  9. Tamanampudi, Venkata Mohit. "CoWPE: Adaptive Context Window Adjustment in LLMs for Complex Input Queries." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 5.1 (2024): 438-450.
  10. Thota, Shashi, et al. "Few-Shot Learning in Computer Vision: Practical Applications and Techniques." Human-Computer Interaction Perspectives 3.1 (2023): 29-59.
  11. Tamanampudi, Venkata Mohit. "Leveraging Machine Learning for Dynamic Resource Allocation in DevOps: A Scalable Approach to Managing Microservices Architectures." Journal of Science & Technology 1.1 (2020): 709-748.
  12. J. Singh, “Autonomous Vehicle Swarm Robotics: Real-Time Coordination Using AI for Urban Traffic and Fleet Management”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 1–44, Aug. 2023
  13. S. Kumari, “Cloud Transformation for Mobile Products: Leveraging AI to Automate Infrastructure Management, Scalability, and Cost Efficiency”, J. Computational Intel. & Robotics, vol. 4, no. 1, pp. 130–151, Jan. 2024.