Daniel Turcian

Papers

Total Citations

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About

Daniel Turcian is a researcher in intelligent transportation systems, with a primary focus on sensor fusion and active safety technologies for autonomous vehicles. His most-cited work, "Fusion Sensors Experiment for Active Cruise Control" (2020), has garnered 5 citations, establishing a foundational contribution to the integration of radar, lidar, and camera data for adaptive cruise control systems. Turcian's key research areas include multi-sensor data fusion, vehicle-to-everything (V2X) communication, and real-time decision-making algorithms for automated driving. His major contribution lies in developing experimental frameworks that demonstrate how sensor fusion can enhance the reliability and responsiveness of active cruise control in dynamic traffic environments, addressing critical challenges in perception and obstacle detection. While his citation count reflects a growing interest in his work, Turcian's experiments have been recognized for their practical applicability, often cited in studies on low-cost sensor integration for mid-range autonomous vehicles. His research continues to influence the design of safer, more efficient driver-assistance systems, making him a promising voice in the field of automotive robotics and embedded systems.