S. Veluchamy

Papers

Total Citations

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About

S. Veluchamy is an emerging researcher in the field of intelligent transportation systems and artificial intelligence, with a focused contribution to the development of advanced driver assistance systems (ADAS). Their most notable work, "DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems," published in 2023, demonstrates a sophisticated integration of Generative Adversarial Networks (GANs) and Deep Convolutional Neural Networks (CNNs) to enhance real-time braking decision-making in autonomous and semi-autonomous vehicles. This research addresses one of the most critical safety challenges in modern vehicular technology — precise and timely braking response — by leveraging cutting-edge deep learning architectures. Garnering 15 citations since its publication, the work has quickly attracted attention from the autonomous driving and machine learning communities, signaling its relevance and practical applicability. Veluchamy's research sits at the intersection of computer vision, deep learning, and vehicular safety, positioning them as a contributor to the growing body of knowledge aimed at making roads safer through intelligent automation. Their work offers promising pathways for future advancements in self-driving technology and AI-driven safety systems.