Lars Hammarstrand is a Post-Doctoral Research Fellow in the Signal processing research group. His main research interests are in the fields of tracking, sensor data fusion and non-linear estimation and filtering, especially with application to automotive active safety systems. Lars is involved in the Non-Hit Car & Truck project, supporting the Volvo Car vision on total elimination of accidents in Volvo cars by 2020. He also mentors Ph.D. students and teaches graduate and undergraduate courses in, e.g., non-linear filtering and linear systems and transforms.
EdX
Discover the core principles of sensor fusion and non-linear filtering as applied to advanced automotive technologies. This course provides a comprehensive introduction to algorithms crucial for estimating parameters using multiple sensors, enhancing vehicle safety and performance.