Deep-learning based detection

Situational Awareness System for Autonomous Surface Vehicles

Dr. Hyun Taek Choi, Advanced intelligent Ship Research Division, Korea Research Institute of Ships and Ocean Engineering

May 10, 14:30 - 15:00

B18 Fellowship Hall

Featured Sessions

Situational Awareness System Multi-object Tracking Deep-learning based detection Sensor Fusion Autonomous Surface Vehicle

Abstract Recent advancements in robotics algorithms have been made possible by combining probabilistic-based methods with various artificial intelligence technologies. With the support of hardware technologies such as computing power and batteries, autonomous mobility technology has been rapidly advancing across all fields, including land, air, and sea. While marine robots have been somewhat slower to adopt these technologies due to the wide area, various ocean environmental conditions, and their unique characteristics, they have achieved significant advancements in recent years. This

José Maria Sosa Gómez

Ph.D. Student, Electrical and Computer Engineering

machine learning Deep-learning based detection radar applications MIMO radars Radar imaging Computer Vision for Automation Programming language Embedded system developing

PhD student at KAUST leveraging machine learning and radar systems to enhance patient procedures, under the guidance of Prof. Mohamed-Slim Alouini at the Communication Theory Lab (CTL).