Harnessing Deep Learning for Advanced Visual Systems: Revolutionizing Computer Vision and Autonomous Navigation

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@article{1706161,
      author = {Praise Chimeremeze Lazarus, Pelumi Emmanuel Adeniyi, Ayobami Joshua Ajayi, Damola Micheal Ajeyemi},
      title = {Harnessing Deep Learning for Advanced Visual Systems: Revolutionizing Computer Vision and Autonomous Navigation},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {2},
      pages = {352-359},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706161.pdf},
      abstract = {Recent advancements in deep learning have profoundly transformed the landscape of computer vision, pushing the boundaries of the technology from rudimentary object detection to sophisticated and intricate operations for autonomous mobility. This paper explores the progression of computer vision, tracing its origins from early object detection algorithms to its contemporary advanced state bolstered by the integration of Convolutional Neural Networks (CNNs) which form the backbone of modern autonomous systems. We examine how these developments have improved precision in image classification and requisite real-time processing capabilities essential for autonomous navigation systems. Additionally, the paper discusses the ethical considerations surrounding implementing these technologies and the crucial role of cross-industry collaboration among leading technology stakeholders and regulatory bodies to ensure the responsible and safe deployment of autonomous vehicles into society. Looking ahead, we identify key areas for future research in deep learning architectures and their potential integration with other Artificial Intelligence domains to revolutionize transportation infrastructure and beyond. This comprehensive analysis emphasizes deep learning?s indispensable role in not only advancing the functional capacities of computer vision technologies but also in reshaping the future of mobility by making autonomous vehicles an integral part of the modern transportation landscape.},
      keywords = {Deep Learning, Computer Vision, Autonomous Navigation, Convolutional Neural Networks},
      month = {August},
  }