Scania

30 Credits - Modelling Safety of Autonomous Driving using Stochastic Processes

Rekryterare
Scania
Plats
Sodertalje, Stockholm
Annonserat
den 18 september 2019
Stängs
den 30 november 2019
Ref:
20193677
Kategori
Övriga jobb
Anställningsform
Tillsvidare
Sysselsättning
Heltid
Thesis project at Scania is an excellent way of making contacts for your future working life. Many of our current employees started their career with a thesis project.
Background:
In experimental projects around the world, autonomous driving has been demonstrated for different kind of vehicles and scenarios. Scania is among the companies aiming to sell fully autonomous vehicles a few years from now. However, to guarantee safety of the autonomous driving is still a huge challenge. Notably, this is also indicated by the fact that all of the reported experiments on public roads have had a human driver present ready to take over in a situation when autonomous driving fails.
Target:
Clearly, safety of autonomous driving in general and in particular for Level 3, i.e. when the person in the drivers seat does not need to watch the road, needs deeper analysis. In this project, autonomous driving is to be analysed using semi-Markov processes. Semi-Markov processes are a generalization of Markov processes and the advantage is that the former are more general since they allow transition probabilities that are dependent on time spent in a state; something that is useful when modelling vehicle and driver behaviour in the context considered. By using the models, the aim is to answer questions such as: how does reliability and response time of individual systems affect the overall safety? In a situation where driver actions are needed, how does driver alertness affect overall safety?
Assignments:
- Extend the current semi-Markov analysis to allow for more general semi-Markov models more applicable to real systems for autonomous driving.

- Extend a tool within MATLAB to support analysis of more general semi-Markov models, to support scenario-modelling and analysis related to autonomous driving.
Education:
Specify education or specialization: M.Sc. in Engineering or similar with an interest for mathematics.

Number of students: 1-2.

Start date: January/February 2019.

Estimated time needed: 20 weeks.
Contact person and supervisor:
Stefan Kaalen, Industrial PhD student, 0733291404
Application:
Enclose CV, personal letter and grades.

Scania är en världsledande leverantör av transportlösningar. Tillsammans med våra partners och kunder driver vi omställningen till ett hållbart transportsystem. 2018 levererade vi 88 000 lastbilar, 8 500 bussar samt 12 800 industri- och marinmotorer till våra kunder. Nettoomsättningen uppgick till mer än 137 miljarder kronor, varav cirka 20 procent var tjänsterelaterade. Scania grundades 1891 och är idag verksamt i fler än 100 länder och har cirka 52 000 medarbetare. Forskning och utveckling är koncentrerad till Sverige, med filialer i Brasilien och Indien. Tillverkning sker i Europa, Latinamerika och Asien, med regionala produktionscentrum i Afrika, Asien och Eurasien. Scania är en del av TRATON SE. För mer information besök: www.scania.com.

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