Internship | Computer vision for robust image matching on high-resolution highway data
About this position
The Intelligent Imaging department at TNO works on a large variety of computer vision solutions in the field of inspection. One of these projects is the automated inspection of the Dutch highways, where our algorithms are used to monitor the state of the highways and to indicate when sections of highway need to be repaired or replaced. Every year, a high-resolution 3D scan is recorded of all Dutch highways (approximately 15.000 km worth of highway lanes). Our task is to extract as much information as possible from this extremely large amount of data. Currently, different categories of road damage are already automatically detected such as cracks or absolute wear. However, it is challenging to accurately (millimeter precision) re-locate the same piece of asphalt from each year’s recording as the GPS data of the measurement vehicles only have a precision of several meters. During your project, you will create an algorithm that can perform such accurate matching based on a series of images.
What will be your role?
You will investigate different methods capable of the abovementioned matching problem. This research will include a literature review of the current state-of-the-art of both classical computer vision approaches as well as deep learning solutions. Afterwards, you will investigate the remaining difficulties that these algorithms have specific to the considered use-case of matching pieces of road over time, and creating a new algorithm that is able to deal with a number of practical problems, such as: change of road condition (general wear, cracks, etc.), different measurement conditions (e.g. weather conditions) or repairs (e.g. repaired cracks).
You will perform this assignment in the Intelligent Imaging department. TNO’s Intelligent Imaging group is specialized in image processing, image enhancement, image analysis, visual pattern recognition, artificial intelligence and deep learning. This young, passionate, creative and committed group (50 people) works with partners on technological breakthroughs for innovations in important societal and economic themes, developing knowledge in various research areas including both AI (e.g. learning with less data or hybrid AI) as well as crucial non-AI knowledge, real-time algorithms, edge processing and information fusion.
The project duration is flexible, but preferably within the range of 6 to 12 months. Please mention in your application whether you are looking for an internship or a graduation project, the preferred length of your project and your desired starting date. When doing an internship/graduation project at TNO you will receive an appropriate internship fee.
Keywords to describe this project include: Artificial intelligence, Computer Vision, Image Matching, Deep Learning, Machine Learning, Road Inspection, Highway Pavement Inspection.
What we expect from you
You are in the final stages of your master’s degree in artificial intelligence, computer science, physics, mathematics, electrical engineering, or a similar degree, you have experience in programming (e.g. Python or Matlab) and preferably have some prior experience with computer vision and/or image processing algorithms.
What you'll get in return
You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Naturally, we provide suitable work placement compensation.
TNO as an employer
At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world. Read more about TNO as an employer.
At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society. Want to know more? Read what steps we are taking in the area of diversity and inclusion.
The selection process
After the first CV selection, the application process will be conducted by the concerning department. TNO will provide a suitable internship agreement. If you have any questions about this vacancy, you can contact the contact person mentioned below.
Students must reside in the Netherlands before the start and also throughout the internship or graduation project at TNO.
Has this job opening sparked your interest?
Then we’d like to hear from you! Please contact us for more information about the job or the selection process. To apply, please upload your CV and covering letter using the ‘apply now’ button.