[Internship] 3D Depth Perception Using Drones

A summer internship and/or thesis opportunity focused on the exploration of 3D depth perception using visual sensors in offshore environments. Under the guidance of our team, the selected candidate will contribute to a project aimed at leveraging autonomous drone swarms for spatial scan and prediction of the wave condition in limited time window for taking respective measures in the offshore operations.

Assignment

Key Responsibilities:

1. Conduct a comprehensive review of existing literature and research on visual sensor data processing, and depth perception.
2. Application of the Robot swarming and distributed systems in gaining spatial environment perception.
3. Design and implement algorithms for extracting spatial information from visual sensor data collected by drone swarm.
4. Collaborate with interdisciplinary teams to integrate developed algorithms into our drone swarm system for real-time data analysis and decision-making.
5. Conduct experiments and simulations to validate the accuracy and reliability of the developed algorithms in offshore environments.
6. Document and present findings.

Requirements

We are seeking a self-motivated student with a strong background in linear algebra and statistical signal processing. An ideal candidate should also possess a keen interest and relevant experience in computer vision, image processing, visual registration, computational geometry, and machine learning techniques. Proficiency in programming languages such as Python (C/C++, and MATLAB would be a plus). Experience with drone technology, sensor fusion, and offshore operations is preferred but not required. Furthermore, excellent written and verbal communication skills in English are mandatory. The expected duration of the project is either 3 months internship or a  9-12 months thesis.

Contact

Last modified: 2024-03-26