-
Development of a collaborative robust Particle Filter for State Estimation with Stochastic and Quantity-based Uncertainties in Sensor NetworksPrecise 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 AlkahtibTeam:Year: 2022Funding: DFG - GRK 2159 i.c.sensDuration: 11/2022 - 11/2025
![]()
![]()
Research projects by Marvin Scherff, M. Sc.
Last Change: 20.03.25
