30 credits – Safe and Comfortable Motion Planning for Autonomous Heavy-Duty Vehicles

30 credits – Safe and Comfortable Motion Planning for Autonomous Heavy-Duty Vehicles

Scania genomgår nu en transformation från att vara en leverantör av lastbilar, bussar och motorer till en leverantör av kompletta och hållbara transportlösningar.

Ingress:
A 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:
The technical development of autonomous driving technologies is progressing rapidly, and fully autonomous vehicles will soon have a place in our everyday life. In order to drive, autonomous vehicles need to perform motion planning, that is, plan trajectories and maneuvers to be performed. These trajectories should consider vehicle dynamics and comfort constraints.

Parametric functions, such as splines, bézier curves or clothoids, are often used to plan trajectories for autonomous vehicles. They present different advantages and disadvantages, and to choose one of the alternatives, one has to study their applicability. Considerations with respect to ease of use, ability to respect vehicle constraints, and computation times must be taken into account, when deciding on a parametric function to use.

The choice of a parametric function is then of extreme importance, as it will affect the safety and comfort of autonomous vehicles. Furthermore, considerations must be taken, in order to ensure that the chosen parametric function complies with the safety and comfort requirements, while being feasible to implement with limited computational resources.

Target:
To study and develop algorithms for motion planning, using parametric functions. A study is to be made into a few of the different alternatives, and the best alternative must be chosen, taking into account application requirements and computational limitations.

Assignment:
Enumerate a set of possible candidate parametric functions to be used for motion planning.

Study the properties, advantages and disadvantages of selected parametric functions.

Evaluate the selected parametric functions, within the context of a Motion Planner.

Collect results in simulation and on the actual vehicles, of the different candidate parametric functions.

Education:
Master (civilingenjör) in engineering physics, electrical engineering, computer science, or applied mathematics.

Number of students: 1-2
Start date: January 2019
Estimated time needed: 20 weeks

Contact persons and supervisors:
Rui Oliveira, Industrial PhD in Autonomous Motion, rui.oliveira@scania.com, 08 - 553 719 54

Application:
Enclose CV, cover letter and transcript of records
Mer info
Område Södertälje
Yrkesroll Teknik & Ingenjör
Typ av anställning Heltid, Projekt- / Visstidsanställd, Examensarbete
Hemsida http://www.scania.com
Sista ansökningsdag 23 nov (10 dagar kvar)

Om arbetsgivaren

Scania är en världsledande leverantör av transportlösningar. Tillsammans med våra partners och kunder leder vi övergången till ett hållbart transportsystem. Under 2017 levererade vi 82 500 lastbilar, 8 300 bussar samt 8 500 industri- och marinmotorer till våra kunder. Vi omsatte närmare 120 miljarder kronor, varav 20 procent utgjordes av servicerelaterade tjänster. Scania grundades 1891 och finns idag representerat i mer än 100 länder, och har drygt 49 000 medarbetare. Forskning och utveckling är koncentrerad till Sverige, med filialer i Brasilien och Indien. Produktion sker i Europa, Latinamerika och Asien, med regionala produktcentra i Afrika, Asien och Eurasien. Scania ingår i Traton Group. För ytterligare information, besök www.scania.com.