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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 Sensor group at Scania is responsible for sensors and develops sensor pre-treatment software 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 at construction sites and even on public roads will soon be a reality. In the Autonomous Vehicle Sensor group we are responsible for sensors and development of sensor pre-treatment software. Our systems are essential in enabling high level autonomy for the transportation systems of the future.
A specific challenge for heavy commercial vehicles is dealing with sensors positioned on different parts of the vehicle, and the relative movement that they will face. For example, on a standard long-haulage truck the truck cabin is suspended on the chassis and sensors mounted on the chassis and cab respectively will have very different line of sight especially on a rough road.
The above problem can be mitigated by using several Inertial Measurement Systems (IMU), capturing the exact movement of each sensor. This data can be used to offset the sensor signals. This requires the IMU setup to be highly reliable at all times.
The goal of this thesis is to select, implement and evaluate methods to increase the reliability of a system comprising of two IMU’s on different vehicle parts by creating virtual models of each IMU. These models could be based on traditional signal processing algorithms and/or machine learning algorithms.
Based on data from an experimental setup on one of our vehicles, investigate how to create virtual twins of the respective IMU’s using classical transfer functions or a deep learning approach.
Master (civilingenjör) in electrical engineering, physics, mechatronics, or similar, preferably with specialization in optics, robotics, machine learning or artificial intelligence.
Number of students: 1-2 students
Start date: Spring 2020 by agreement
Estimated time needed: 20 weeks
Contact persons and supervisors:
Daniel Tenselius, Development engineer at Autonomous Vehicle Sensors, email@example.com
Mattias Johansson, Development engineer at Autonomous Vehicle Sensors, firstname.lastname@example.org
According to the application form on the Scania careers webpage.
Sista sökdatum: 2019-12-08
Jobb Id: 20194028
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