Workshop on Results of Sensor Data Fusion System Development
SEFS – Sensor Fusion for Safety
As part of the IVSS programme, SEFS is a national Swedish research project for investigation of sensor data fusion for automotive safety applications. Aim of this project workshop, is to present and discuss project results on sensor data fusion architectures and algorithms.
Workshop Agenda
• Introduction: SEFS Project overview; Malte Ahrholdt, Volvo Technology
Data Fusion Systems Session
• Designing Sensor Data Fusion Algorithms with Application to Preventive Safety; Lars Danielsson, Volvo Cars Corporation
• Designing a System Architecture for Automotive Sensor Fusion; Cecilia Ekelin, Volvo Technology
• Fusion Implementation on a Real-time Platform; Torgny Carlsson, Mecel
Data Fusion Research Session
• Road Geometry Estimation; Christian Lundquist, Linköping University
• Tracking Vehicles using Detailed Radar Sensor Models; Lars Danielsson, Volvo Cars Corporation
• Tracking with SJPDA – A New Thinking about Target IDs; Lennart Svensson, Chalmers
• Conclusion, Wrap-up, Open Discussion