Participation in traffic requires drivers to perform multitasking. A driver needs to pay attention to different events in traffic occurring at the same time. Other events, like a phone call, or people having a conversation in the back seat, can draw the drivers attention away from what is important. This thesis proposes a framework that implements a safety warning system that uses machine to machine communication to communicate with other traffic users. The safety warning system seeks to aid traffic users with the task of detecting possible dangers during participation in traffic. The system consists of four different parts: perception of the environment, the communication protocol, the localization and tracking system, and a collision risk assessment algorithm. Perception of the environment is performed by using a LIDAR-sensor. The localization and tracking system keeps track of a traffic user’s own location and the locations of other moving objects with respect to the traffic user itself. A single-hop broadcasting communication protocol between traffic users enhances the range of the localization and tracking system by sharing the detected moving objects with other traffic users. By using Multiple Hypotheses Tracking (MHT), measurements of the same moving object obtained by di↵erent traffic users are associated with each other. The localization and tracking system is tested by using three robots that are equipped with several sensors including a LIght Detection And Ranging (LIDAR) sensor and an Inertial Measurement Unit (IMU). The collision risk assessment algorithm consists of a Support Vector Machine (SVM) that is trained and tested using simulator data. The simulator aims to create data as realistic as possible by using a physics engine. It is shown that a collision can be detected 2 seconds before the collision occurs.
The University of Groningen (UG) will be awarding honorary doctorates to Prof. Titia de Lange and Dr Philipp Blom during its anniversary week in June 2019. Historian Blom will be awarded an honorary doctorate at the suggestion of Prof. Ann-Sophie Lehmann...
Prof. dr. Stynke Castelein, hoogleraar aan de Rijksuniversiteit Groningen en hoofd onderzoek bij Lentis, ontvangt de Vrouw in de Media Award 2018 Groningen.
Marc Kramer of the Faculty of Economics and Business has been chosen as Lecturer of the Year 2018.