Scania

30 credits - Modelling and estimation of occluded areas in complex environments

Rekryterare
Scania
Plats
Sodertalje, Stockholm
Annonserat
den 4 november 2019
Stängs
den 4 december 2019
Ref:
20193520
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:
Autonomous driving is a widely studied topic that has gained a lot of traction lately: there are more and more advanced driver assistance functions on the market and we will see fully autonomous vehicles on the road in the near future.

Safe navigation in urban areas is a challenging problem for self-driving vehicles.

One of the reasons why human drivers can safely navigate even under occlusions is that they augment their sensing capabilities and anticipate the need to slow down due to the potential risk of collision that arises due to unseen regions. Occlusions and limited sensor range are unavoidable limitations of self-driving vehicles, and they pose significant challenges to safely navigate among vulnerable road users.

Target:
Decision problems in the real world are affected by incomplete and noisy perception and uncertain knowledge about how the world evolves over time. The goal of this thesis is to model and estimate occluded areas for self-driving vehicles operating in uncertain and partially-known environments. The framework will enable the possibility of selecting the most effective and reliable actions while navigating in occluded environments, minimizing the collision risk with other vehicles and maximizing the sensor coverage.

Assignment:
The assignment is divided into the following sub-tasks: 1. Evaluate current state of the art; 2. Provide a model for occluded areas in the environment; 3. Provide an estimation method for occluded areas; 4. Test the work in simulation and/or in real experiments using research vehicles;

Education:
Master (civilingenjör) in computer science, engineering physics, electrical engineering, or applied mathematics, preferably with specialization in signal processing, estimation theory or optimization. Knowledge of programming, are a plus.
Number of students: 1
Start date: January 2020
Estimated time needed: 20 weeks

Contact persons and supervisors:
Navid Mahabadi, Development Engineer, Perception and localization, navid.mahabadi@scania.com , 08 - 553 727 26
Patricio Valenzuela, Development Engineer, Perception and localization, patricio.valenzuela@scania.com , 08 - 553 722 45
Application:
Enclose CV, cover letter and transcript of records.

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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