Expert in Signal Processing and Automotive Safety Systems at Chalmers
Associated with :
Chalmers University of TechnologyDr. Lars Hammarstrand, a Post-Doctoral Research Fellow in the Signal Processing research group at Chalmers University of Technology, specializes in tracking, sensor data fusion, and non-linear estimation and filtering, with a particular focus on automotive active safety systems. His work contributes significantly to the Non-Hit Car & Truck project, supporting Volvo Car's ambitious goal of eliminating accidents in their vehicles by 2020. As an educator, Dr. Hammarstrand teaches graduate and undergraduate courses in non-linear filtering and linear systems, while also mentoring Ph.D. students. His course offerings include "Sensor Fusion and Non-linear Filtering for Automotive Systems" and contributions to the "Sensor Fusion and Multi-Object Tracking" professional certificate program. Through his research and teaching, Dr. Hammarstrand plays a crucial role in bridging advanced signal processing techniques with practical automotive safety applications, thereby shaping the future of road safety technology and preparing the next generation of engineers in this vital field.