Development of Advanced Video Processing Algorithms for Autonomous Vehicle Safety

Authors: Akshat Bhutiani

DOI: https://doi.org/10.5281/zenodo.14122711

Short DOI: https://doi.org/g8qttd

Country: USA

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Abstract: This paper presents the development of advanced video processing algorithms aimed at improving the safety of autonomous vehicles. By utilizing traditional video processing techniques such as background subtraction, optimal flow and edge detection, the system effectively analyzes video data from on-board cameras to detect potential hazards including pedestrians, vehicles and road obstacles. These methods are optimized to ensure high speed processing and accurate detection, which are crucial for real-time decision making in autonomous driving scenarios. Additionally, the system incorporates a hybrid cloud-edge architecture, enabling local video analysis while utilizing cloud-based resources for complex processing tasks. The results demonstrate that these algorithms significantly enhance the safety and reliability of autonomous vehicles, making them better equipped to navigate challenging driving environments and prevent accidents.

Keywords: autonomous vehicle, video processing algorithms, edge detection, background subtraction

Paper Id: 231533

Published On: 2020-05-06

Published In: Volume 8, Issue 3, May-June 2020

Cite This: Development of Advanced Video Processing Algorithms for Autonomous Vehicle Safety - Akshat Bhutiani - IJIRMPS Volume 8, Issue 3, May-June 2020. DOI 10.5281/zenodo.14122711

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