Sagar Dhanraj Pande

Vellore Institute of Technology University, Savitribai Phule Pune University

Papers

Total Citations

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About

Sagar Dhanraj Pande is a leading researcher in computer vision and artificial intelligence, with a focus on real-time object detection and intelligent transportation safety. His seminal work, "Enhancing Real-time Object Detection with YOLO Algorithm" (2023, 56 citations), provides a comprehensive introduction to the YOLO framework, demonstrating its critical role in video surveillance, autonomous driving, and robotics. This paper has become a foundational reference for practitioners seeking efficient, structured solutions for real-time detection tasks. Building on this, Pande’s recent study "Exploiting Machine Learning for Vulnerable Road Users’ Protection of Moving Objects on Trajectory Motion" (2025, 37 citations) pioneers the use of AI agent-based technologies to predict and mitigate risks to pedestrians and cyclists. By integrating action transformation models with trajectory analysis, this work directly addresses the challenge of protecting vulnerable road users in dynamic environments. With over 93 combined citations in just two years, Pande’s research bridges cutting-edge algorithmic advances with pressing societal needs, establishing him as a rising authority in applied AI for safety-critical systems.