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Parking prediction techniques in an IoT environment

MA
State: completed by Samuel Liniger

 

Knowing when and where a car is parked is valuable information when optimization of the available parking spots is attempted. In the future smart-cars would be equipped with mobile communication and GPS modules to facilitate this feature. In this thesis a prototype will be designed and implemented with help of smart-phones and sensors.

Final Report

35% Design, 35% Implementation, 30% Documentation
Advanced programming skills in C, Java, and C++

Supervisors: Prof. Dr. Burkhard Stiller, Christos Tsiaras

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