Publication

SENSOR DATA FUSION FOR MULTIPLE SENSOR CONFIGURATIONS

This paper presents a fusion architecture designed for vehicle manufacturers that use multiple sensor systems to realize several active safety applications, ranging from standard systems to autonomous systems. Advantages and disadvantages of design choices are discussed and the methods we have chosen to implement in two demonstrator vehicles are used as examples. The main contributions are the separation of the architecture into three categories, the state vector parametrization, and the use of multiple output-lists. Together, these choices makes it possible to re-use verified corefunctionality while filters can be independently tuned to meet different requirements.
 

Author(s)
Fredrik Sandblom, Joakim Sörstedt
Research area
Systems for accident prevention and AD
Publication type
Conference paper
Published in
IEEE Intelligent Vehicles Symposium, June 2014, Dearborn (USA)
Year of publication
2014