Sensordatenfusion für automotive Anwendungen

Fahrzeug mit Multi-GNSS, IMU, Odometrie und weiteren Sensoren (Quelle: Ortiz et al.: From Lab to Road Test, insideGNSS, 2013)
Vehicle with multi-GNSS, IMU, odometry and additional sensors (Source: Ortiz et al.: From Lab to Road Test, insideGNSS, 2013)

Existing fusion approaches to the integrated estimation of position and motion quantities for wheel-driven vehicles do not fully exploit the huge potential of modern sensors and integration architectures. Our aim is to develop an algorithm which fuses multi-GNSS/multi-frequency signals via deep integration with MEMS-IMU data and advanced odometry modeling. By utilization of high-grade reference sensor systems as well as GNSS/IMU simulation tools the developed methods are verified and validated, and the underlying models are calibrated. The addressed applications are wheel-driven vehicles of all kind.

Aims of the research project:

  • Increased availability through multi-GNSS (GPS, Galileo, …)
  • Enhanced accuracy through multi-frequency GNSS (GPS: L1 C/A, L2C, L5; Galileo: E1, E5a, E5b)
  • Improved robustness through deep integration of GNSS, IMU and odometry data

Contact person: M. Sc. Björn Reuper