De Jong Yeong

De Jong Yeong
Masters Student

Qualifications:

2019: Awarded B.Sc. (Honours) in Computing with Software Development (First Class Honours) - Institute of Technology, Tralee 2018: Awarded B.Sc. (Ordinary) in Computer with Software Development (Distinction) - Institute of Technology, Tralee

Research Areas of Interest / Expertise:

Machine Learning and Artificial Intelligence, Computer Vision, Natural Language Processing, Software (Web & Mobile) Development

Biography:

De Jong (DJ) Yeong is a Masters Student in the IMaR Technology Gateway at the Munster Technological University (MTU, former Institute of Technology, Tralee). He is also a member of Lero, the Science Foundation Research Centre for Software. Previously, he has worked as a Graduate Student Intern in the IMaR Technology Gateway, focusing on developing a graphical user interface and automating crane matrics analysis using Python and Git/GitHub for version controls to provide ease-of-use for the industrial partner.

Project Title:

Development of Multi-Sensor Fusion Perception Systems for Obstacle Detection in Container Terminals.

Partner Company:

Liebherr Container Cranes Ltd.

Project Overview:

The development of the elements of an autonomous rubber-tyred gantry movement in a container terminals environment relating to computer vision. The research aims to identify the limiting use conditions for reliable and safe detection of objects and personnel within the environment of interest under different environmental conditions (including weather and illumination) and the sensor characteristics. It involves developing a perception system for rubber-tyred gantry cranes by evaluating a range of sensors that are well-established in autonomous vehicles for environment perception, such as camera, radar, and lidar, sensor calibrations, and developing sensor fusion algorithms for object detection. LinkedIn: