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30 credits – Ego vehicle state modelling using controller output observer i Sodertalje

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.

Om tjänsten

Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.

Ingress:
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.

Background:
In order for a truck to be autonomous, the self-driving system must be fully aware of the internal states of the ego vehicle. States like the vehicle speed, yaw rate, steering wheel angle and many more. The states can often be observed by different sensors, but the sensor reading are not always reliable, and the states often require advanced modelling of the vehicle dynamics in order to be interpretable.

One specific state of interest is the state of the trailer. The trailer can be described using vehicle dynamics and is observed by different sensors, like radars. The trailer highly influences the behavior of a self-driving truck.

Target:
Implement and evaluate an ego state estimation model using controller output observer.

Assignment:
One goal is to estimate the state of the trailer using a controller output observer, but you will have the opportunity to adapt your thesis work according to your needs and wishes. The validation can be performed using simulation of logged data or, through driving a truck with trailer.

Education:
Master (civilingenjör) in electrical engineering, physics, mechatronics, or similar, preferably with specialization in control, robotics, machine learning.
Number of students: 1-2 students
Start date: January 2019
Estimated time needed: 20 weeks

Contact persons and supervisors:
Henrik Felixson, Development engineer in Autonomous vehicle perception
08 – 553 53 185,

Publicerad den

29-02-2024

Extra information

Status
Stängd
Ort
Sodertalje
Typ av kontrakt
Heltidsjobb (förstajobb)
Typ av jobb
Kontor / Administration , Civilingenjör / Arkitekt, IT
Körkort önskas
Nej
Tillgång till bil önskas
Nej
Personligt brev krävs
Nej