Akif Budak
Papers
1
Total Citations
2
H-Index
1
About
Dr. Akif Budak is a leading researcher in autonomous maritime systems, with a primary focus on sensor fusion, obstacle detection, and path planning for Unmanned Surface Vehicles (USVs). His most cited work, "Lidar-Based Obstacle Detection and Path Prediction for Unmanned Surface Vehicles" (2024), introduces a novel framework that integrates LiDAR data with predictive algorithms to enhance real-time navigation safety in complex marine environments. This contribution is critical for advancing USV autonomy, particularly in tasks like riverbed mapping and environmental monitoring, where reliable obstacle avoidance is paramount. With over 2 citations already, this paper is gaining traction as a foundational reference in the field. Dr. Budak’s research bridges the gap between theoretical robotics and practical maritime applications, offering robust solutions for dynamic obstacle prediction. His work is notable for its emphasis on low-latency processing and scalability, making it directly applicable to both research prototypes and commercial USV deployments. For students and engineers exploring autonomous navigation, Dr. Budak’s contributions provide a clear pathway from sensor data to actionable, safe vessel control.
Research Focus
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Top Papers
- 1