Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2017, we delivered 82 500 trucks, 8 300 buses as well as 8 500 industrial and marine engines to our customers. Net sales totalled nearly SEK 120 billion, of which about 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 49 000 people. Research and development are concentrated in Sweden, with branches in Brazil and India. Production takes place in Europe, Latin America and Asia, with regional production centres in Africa, Asia and Eurasia. Scania is part of Traton Group. For more information visit www.scania.com.
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.
The Autonomous Vehicle Perception group at Scania develops key components sensor fusion, localization and mapping for autonomous trucks. A thesis project at the group and Scania is a great opportunity to work on the forefront of autonomous vehicle development and an excellent way of making contacts for your future working life.
Autonomous vehicle development is advancing at a very high pace and self-driving trucks on control-tower operated work sites will soon become reality. In the Autonomous Vehicle Perception group we develop cutting edge sensor fusion algorithms and high precision localization and mapping systems. Our systems are essential in enabling high level autonomy for the transportation systems of the future. High definition maps help autonomous trucks to localize themselves and navigate in the surrounding environment. As opposed to the majority of public roads, off-road work sites tend to reshape frequently, which brings about the need for configurable maps. The site map needs to support a range of different updates for efficient operation, while also ensuring safety.
Analysis of prerequisites and consequences for dynamically updating maps that guide autonomous vehicles in off-road sites
To propose a method that supports map updates that are common in off-road site scenarios and analyze the prerequisites and consequences of the required updates to ensure safety. Preferably, a prototype solution should also be implemented and evaluated.
Master (civilingenjör) in computer science, electrical engineering, mechatronics, or similar.
Number of students: 1-2 students
Start date: January 2019
Estimated time needed: 20 weeks
Contact persons and supervisors
Kathrin Rosvall, Development Engineer Autonomous Perception, 08 – 553 500 23,
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