Michael Khalfin

Papers

Total Citations

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About

Michael Khalfin is a researcher advancing the field of intelligent transportation systems, with a primary focus on vehicle-to-everything (V2X) communication and autonomous vehicle perception. His most cited work, "Vehicle-to-Everything Communication Using a Roadside Unit for Over-the-Horizon Object Awareness" (2023), addresses a critical limitation in self-driving technology: the inability of vehicles to perceive objects beyond their immediate line of sight. By leveraging roadside units as communication relays, Khalfin proposes a framework that extends a vehicle’s awareness beyond sensor range, enhancing safety and coordination in complex traffic environments. This contribution has garnered 4 citations, reflecting its relevance to emerging V2X standards and autonomous driving research. Khalfin’s work sits at the intersection of wireless communication, sensor fusion, and real-time data processing, offering practical solutions for overcoming the "hidden object" problem. His research is particularly notable for its potential to reduce collision risks at intersections and in dense urban settings, where sensor occlusion is common. As autonomous vehicle technology continues to evolve, Khalfin’s contributions provide a foundational step toward more robust, cooperative driving systems that rely on both onboard sensors and infrastructure-based communication.