Current projects

Projects | Expert-based data analysis and quality processes

• Uncertainty Modeling for Kinematic LiDAR-based Multi-Sensor Systems

  Goal of this PhD project is to investigate methods to enable a consistent estimation of uncertainties for LiDAR-based MSSs, while dealing with the challenges caused by the uncertainties of individual sensors and their interactions in the system.

  Led by: Prof. Dr.-Ing. Ingo Neumann

  Team: Dominik Ernst, M. Sc.

  Year: 2022

  Funding: DFG - GRK 2159 i.c.sens until November 2025

  Duration: 11/2022 - until further notice

  © GIH | Dominik Ernst
• Development of a collaborative robust Particle Filter for State Estimation with Stochastic and Quantity-based Uncertainties in Sensor Networks

  Precise vehicle localization is a critical requirement for autonomous driving, especially in urban settings where GNSS signals often fail. To address this challenge, an advanced Particle Filter framework estimates vehicle pose by fusing 3D LiDAR data with complementary sensor inputs. The primary motivation is to achieve low-decimetre localisation accuracy despite the complexities of urban environments.

  Led by: PD Dr.-Ing. Hamza Alkahtib

  Team: Marvin Scherff, M. Sc.

  Year: 2022

  Funding: DFG - GRK 2159 i.c.sens until November 2025

  Duration: 11/2022 - until further notice