Doctoral thesis (Dissertations and theses)
Advanced Vehicle Collision Avoidance using GNSS, Digital Maps, and V2V Communication
Christen, Fréderic
2018
 

Files


Full Text
CHRISTEN_2018_PhD_Thesis_-_Advanced_Vehicle_Collision_Avoidance_System_-_Author_postprint_2019-10.pdf
Author postprint (12.34 MB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Collision Avoidance; GNSS; Digital Map; V2V Communication
Abstract :
[en] The thesis is about an advanced collision avoidance system (CAS) which specifically makes use of GNSS, digital maps and V2V communication additionally to “conventional” sensors such as radar and camera. Current prototypes of CAS – which only use those “conventional” sensors for the detection of surrounding vehicles – are restricted due to the limited detection area of the sensors and their operational capabilities under various environmental conditions. By means of a sensor data fusion, the advantages of all the above mentioned sensors are combined in order to increase the reliability of the CAS. With knowledge of the course of the road ahead and with information of the surrounding vehicles, a predictive system can be developed The thesis approaches the topic systematically by starting with a review of the state of the art regarding collision avoidance systems. Based on the analysis of the literature, research needs are identified and the research questions of the thesis are derived. In addition, requirements are defined. The aim of the CAS is to detect surrounding vehicles that are on collision course with the ego vehicle and to initiate a collision avoidance action (braking or steering) automatically in case that the driver does not react on time. The collision avoidance system is designed by braking it down into different modules: - Data fusion - Motion prediction - De-escalation and intervention decision - Trajectory following control The development modules take into account the research questions and defined requirements. The algorithms are implemented in a simulation environment and in a test vehicle. Well-defined scenarios are conducted to answer the research questions and to analyze the test results.
Research Center/Unit :
Space Administration, Navigation
Disciplines :
Mechanical engineering
Author, co-author :
Christen, Fréderic ;  Université de Liège - ULiège > Doct. sc. ingé. (aérosp. & méca. - Bologne)
Language :
English
Title :
Advanced Vehicle Collision Avoidance using GNSS, Digital Maps, and V2V Communication
Defense date :
21 June 2018
Number of pages :
187
Institution :
ULiège - Université de Liège
Degree :
Doctor of Engineering
Promotor :
Duysinx, Pierre  ;  Université de Liège - ULiège > Aérospatiale et Mécanique (A&M)
Eckstein, Lutz
President :
Bruls, Olivier  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique
Jury member :
Bozet, Jean-Luc ;  Université de Liège - ULiège > Chemical engineering
Fisette, Paul
Zegelaar, Peter
Benmimoun, Ahmed
Name of the research project :
Galileo above - Application Centre for Ground-Based Traffic
Funders :
Space Agency of the German Aerospace Centre (DLR) with funding by the German Federal Ministry of Economics and Technology
Available on ORBi :
since 11 July 2018

Statistics


Number of views
116 (13 by ULiège)
Number of downloads
5 (1 by ULiège)

Bibliography


Similar publications



Contact ORBi