Prithvi Kumar Sanghamreddy

Sathyabama Institute of Science and Technology

Papers

Total Citations

H-Index

About

Prithvi Kumar Sanghamreddy is a researcher at the forefront of autonomous systems and computer vision, with a particular focus on integrating cloud-based artificial intelligence with real-world robotic control. His most cited work, "Rough Terrain Autonomous Vehicle Control Using Google Cloud Vision API" (2019), demonstrates a pioneering approach to off-road navigation by leveraging cloud-based visual processing to interpret complex, unstructured environments. This contribution is critical for advancing autonomous vehicles beyond well-mapped urban roads, enabling them to operate safely in agriculture, search-and-rescue, and defense applications. With 5 citations, this paper has laid groundwork for cost-effective, scalable vision systems that replace expensive onboard hardware with cloud intelligence. Sanghamreddy’s research addresses the core challenge of emulating human vision capability in machines—capturing, processing, and acting on visual data in real time. His work stands out for its practical integration of accessible APIs with robust control algorithms, making autonomous navigation more attainable for smaller teams and industries. By bridging computer vision and cloud computing, Sanghamreddy is helping to democratize autonomous vehicle technology, pushing the boundaries of where and how machines can operate without human intervention.