Sensor fusion and sensor management for automated vehicles
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Typ
Examensarbete för masterexamen
Program
Complex adaptive systems (MPCAS), MSc
Publicerad
2019
Författare
Svensson, Mats
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The development of the autonomous vehicle is one of modern technology’s widespread
goals and is therefore an area of great competition and rapid development. This puts
great pressure on technology as a whole, but on sensors and sensor fusion especially,
since they are instrumental for the implementation of active safety. This thesis examines
how sensors and sensor fusion is used in the different autonomous vehicles
that participated in the 2016 Grand cooperative driving challenge (GCDC), and how
it was implemented in one of them specifically. The conclusion is that the GCDC
is a great incentive for the development of cooperative autonomous vehicles in general,
although it lacks in the specific area of sensors and sensor fusion. However, the
hardware and concepts used is an indication of what is needed for a vehicle to be
fully equipped to deal with the rigors of the real world and to guarantee everyone’s
safety in traffic.
Beskrivning
Ämne/nyckelord
Sensor fusion , 2016 Grand Cooperative Driving Challenge , Autonomous Vehicles , Kalman Filter