Scania

30 credits - Behavior Prediction of Surrounding Pedestrians for Autonomous Driving

Rekryterare
Scania
Plats
Sodertalje, Stockholm
Annonserat
den 4 oktober 2019
Stängs
den 4 november 2019
Ref:
20193912
Kategori
Övriga jobb
Anställningsform
Tillsvidare
Sysselsättning
Heltid
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 vehicles is progressing rapidly, and such vehicles will soon have a place in our everyday life. The ultimate goal of this transport revolution is to have cars, trucks and buses which have a smaller environmental footprint, that are cheaper to operate and, even more importantly, can guarantee higher safety standards than their manually driven counterparts.

Safety can only be ensured if the autonomous vehicles have a clear understanding of theirs surroundings, effectively perceiving other road users such as pedestrians, and predicting their actions and movements over time. This information, in conjunction with the application of traffic rules, can then be used for tactical decision making and for planning safe maneuvers.

Target:
Design a framework that effectively and reliably can predict the most likely movements and actions of other pedestrians in simple traffic situations. The target of this thesis is to design a framework to support decision making on board autonomous vehicles.

Assignment:
The assignment is divided into four sub-tasks: 1. To evaluate possible solutions to effectively predict the movements and behavior of other pedestrians; 2. To investigate how to combine sensor data and a-priori information (e.g., a high definition road map, complex behavior models) to improve the predictions; 3. To design and implement a framework that can be used for such; and 4. Test the work in simulation and/or in real experiments using research and prototype vehicles.

Education:
Master (civilingenjör) in computer science, engineering physics, electrical engineering, or applied mathematics, preferably with specialization in artificial intelligence algorithms, control theory, optimal control or optimization.
Number of students: 1-2
Start date: January 2020
Estimated time needed: 20 weeks

Contact persons and supervisors:
Laura Dal Col, Development Engineer in Autonomous Motion, laura.dal.col@scania.com , 08 - 553 851 20

Christoffer Norén, Senior Engineer in Autonomous Motion, christoffer.noren@scania.com , 08 - 553 811 48 Application:

Enclose CV, cover letter and transcript of records .

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 2018, we delivered 88,000 trucks, 8,500 buses as well as 12,800 industrial and marine engines to our customers. Net sales totalled to over SEK 137 billion, of which about 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 52,000 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 SE. For more information visit: www.scania.com.

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