Master Thesis: Object detection model for semantic SLAM

Lund, SE
den 1 maj 2021
den 7 maj 2021
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As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we've made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?
Come, and be where it begins.

Our Exciting Opportunity

At Ericsson, we are investigating how to perform joint object detection (OD) and simultaneous localization and mapping (SLAM) in a way that such processes benefit from each other in an efficient and integrated way. Specifically, both processes can help each other to improve the robustness of SLAM algorithms and the performance of OD models.
We are looking for a master thesis student who can help us carry out research on how to integrate visual-inertial SLAM information into object detection models. One concrete example can be adding localization and map information as input channels (besides the usual RGB channels) to convolutional neural networks used for object detection and retrain those models. Also, to implement python and OpenCV scripts that take information from SLAM frameworks in ROS and that allows to study and evaluate this impact.

You will

• Develop a thesis plan and identify research questions related to improving SLAM robustness using object detection
• Carry out a literature survey on prior works related to joint SLAM and object detection
• Become acquainted with ROS and SLAM frameworks
• Become acquainted with object detection or segmentation frameworks using RGB and/or point clouds
• Develop a study and experimental setup
• Develop Python/OpenCV scripts and/or ROS wrapper/libraries for a proof of concept

• Report to the Head of Device Software Research

To be successful in the role you must have

• Master student status in the area of Engineering Physics, Electrical Engineering, Computer Science, or similar
• Proficiency in English
• Excellent analytical skills
• Hands-on programming experience
• Experience with computer vision
• Ability to work independently
• Understanding of networking concepts
• Understanding of User Experience, Quality of Experience, Experiment Design
• Understanding of XR, especially Augmented Reality

What´s in it for you?

Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds - you will be redefining it. You won't develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.

What happens once you apply?

To prepare yourself for next steps, please explore here:

Kindly note that we cannot process applications sent via email.

Please submit your application in English.

Location for this role: Lund, Sweden

Supervisors: Saeed Bastani,; Yun Li,

Recruiter: Dorota Baran,

Last day to apply: 2021/05/06

Curious to know more about the life at Ericsson? Meet some of your future colleagues and watch our People film .

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do.

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson's Code of Business Ethics.

Primary country and city: Sweden (SE) || || Lund || Stud&YP

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