Mecel has taken part in SEFS - Sensor Data Fusion for Automotive Safety Systems project
SEFS (Sensor data Fusion for automotive Safety systems) is a Swedish IVSS Initiative on Sensor Data Fusion. The aim is to create future automotive safety systems with sensor data fusion technologies. The project is a close collaboration between Mecel, Volvo and Swedish universities.
Starting in June 2005 and ending in December 2009 the SEFS Project
was an ambitious research project to improve Sensor Data Fusion
technologies. “By having a good perception of the vehicle’s
surrounding, traffic safety can be improved beyond what can be achieved
using today’s methods.“ Torgny Carlsson, Systems Engineer at Mecel
explains. “The car can with its external sensors detect danger in
advance and respond immediately to protect passengers and other
vehicles on the road” he continues.
The aim of the SEFS Project was to provide environment information to a
set of different applications, to increase reliability of detections
and accuracy of observations with all-around ego vehicle perception. To
do this, methods and algorithms for sensor data fusion was
developed.
Radar sensors and camera systems are used in vehicles today. But to
better fulfil the objectives of automotive safety systems, information
from more than a single sensor needs to be integrated. “Together,
different types of sensors provide more accurate information. By
covering relevant areas we can better assess situations and with
multiple independent measurements of the same target the confidence
improves.” Says Torgny Carlsson who has played an active part in
the research project.
The SEFS project was a success and has made ground for further testing and development and the advanced safety technologies will be used in future automotive safety applications.
