Automated driving is nowadays in the center of all automotive discussions and research, whether in terms of communication, economic and environmental measures, or of course safety and traffic flow, and more... Automated transport systems can and has significantly improved the transport efficiency of people and goods. Autonomous vehicles connected to control and command centers and used in confined areas like harbors and mines already exist. For example, the use of autonomous trucks at Qingdao New Qianwan Container Terminal in China has reduced labor cost by 70% while increasing efficiency by 30%. However, significant improvements in transport efficiency require a multi-modal transport system with automated road vehicles.
The vehicle- and function safety of road vehicle automation are currently a major area of research and development. The demand on producing autonomous vehicles to increase safety for road occupants is putting a huge pressure on engineers to come up with innovative ideas and solutions to not only meet the demands but also conform to set regulations. This calls for having validation processes that are trustworthy which would ease the development of automated vehicle models.
Given an abstract- and an implementation model, the aim of this thesis is to perform model validation using reachset and simulation conformance, compare the results and assess the offline and online feasibility.
The master thesis project will include:
Comparison between different model validation approaches
Working with tractor semitrailer models with hierarchical fidelity
Understanding and modeling various sources of uncertainties
Exploring the feasibility of reachability analysis in offline and online methods
The main tasks for the master thesis include but not limited to:
Establish model requirements and limitations for industrial applications
Perform classic model validation with the objective to assess a tractor semitrailer vehicle model
Compare performance of 1. classical and 2. model conformance approach for model validation and assess the pros and cons of the two approaches
Study the development needs of model conformance (comparison between different types of model conformance)
Assess the feasibility of the studied approaches in online model validation
We are looking for students that are highly motivated and have a genuine interest in vehicle dynamics as well as in mechanics and mathematics
Master’s degree students in: Mathematics, Applied Mechanics, Systems, Control and Mechatronics or similar
The student(s) preferably has a history with Python, Matlab and Mathematica
Communication skills are an important asset
Period: 1 Semester, 30 hp credits
Starting date: January 2021
Number of students: suitable for 1-2 students
Main office Gothenburg, at CampX (Volvo Group) or Fraunhofer-Chalmers Centre (FCC)
Meetings to be carried out in person or online depending on availability
Presence at the premises should follow COVID-19 protocols
Apply via the Volvo portal with your CV and cover letter stating your interest within the given area and your thoughts and credentials
Selection process will be ongoing
Thorsten Helfrich, Volvo Autonomous Solutions, +46 76 5538152
Peter Nilsson, Volvo Autonomous Solutions, +46 31 3234752
Mohamed Takkoush, Fraunhofer-Chalmers Centre, email@example.com
Mathias Lidberg, Vehicle and Autonomous Systems, Mechanics and Maritime Sciences, Chalmers University, firstname.lastname@example.org
The Volvo Group drives prosperity through transport solutions, offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity. Founded in 1927, the Volvo Group is committed to shaping the future landscape of sustainable transport and infrastructure solutions. Countless career opportunities are offered across the group’s leading brands - Volvo, Volvo Penta, UD Trucks, Terex Trucks, SDLG, Renault Trucks, Prevost, Nova Bus, Mack, Eicher, Dongfeng Trucks and Arquus.
Volvo Autonomous Solutions constitute a new business area as of January 1, 2020, entering new and exciting territories for Volvo Group. We accelerate the development, commercialization and sales of autonomous transport solutions, focusing on defined segments for the on- and off-road space. The combination of strong tech expertise and skilled customer solutions creates innovative transport offers never seen before. We are constantly pushing our own skills and ability to drive change in a traditional industry to meet a growing customer demand. We are now looking for innovative, committed individuals to join us in our endeavor to create customer solutions that enhance safety, flexibility and productivity.
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