Bachelor's Thesis 2025 - Lossless compression of data sets

What's in your future? Time to apply for a Master's Thesis!

Objective

This Bachelor's Thesis will investigate and implement a lossless compression of NIRA data sets.

Keywords: Lossless compression of structured data, embedded development with limited resources.

Summary

In NIRA products, there are parameter sets that is specific for different types of vehicles, tires and more. These parameters can be collected in a dataset and one dataset can contain several mapping blocks.

Investigate and implement compression and decompression of a dataset for less footprint in ROM with limited amount of CPU and RAM.

Scope

• Literature study of existing lossless compression algorithms
• Investigate existing structure of mapping blocks/datasets and draw conclusions to decide on a strategy for compression/decompression.
• Use chosen strategy and applicable algorithm(s) to implement compression/decompression of NIRA datasets on NIRA master branch.
• Suggest improvements for the future.
• This project is planned for two students to complete together. You will have a mentor and a dedicated team that will support you all the way.

Your profile

We are looking for two engineering students studying a Bachelors's program with a specialization in Computer or Electronics Engineering, or equivalent. Knowledge within any of the following areas is beneficial:

• Software development
• Embedded development
• C/C++/Python

NIRA uses Bazel as build system and Git as code version control system.

We expect you to have a solid academic record, be driven, take initiative, and work independently. You will be carrying out the thesis at our head office in Linköping.

We are looking forward to your application! Remember to include a personal letter, CV, and course listing with grades. We will be screening applications on a rolling basis. The earliest expected start date is April 2025.

About NIRA

We at NIRA believe in making roads safer by developing sophisticated software solutions for passenger cars. The Road Surface Information cloud platform is a family of products with a common aim of improving the safety and comfort of our roads. The primary input is data from millions of cars carrying NIRA's sensor fusion algorithm, and based on the output and our cloud algorithms, we are providing a complete view of the state of the road surface and vehicle surroundings in our cloud applications.

You are welcome to NIRA for who you are, no matter where you come from or what kind of transportation you prefer. Our work on future services focuses on all modes of transportation for everyone, including our workplace. The more diverse our experience, the more brilliant we will be in advancing a sustainable transportation system.