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RTG 2159: Integrity and Collaboration in Dynamic Sensor Networks (i.c.sens)
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DFG Research Training Group 2159 - Integrity and Collaboration in Dynamic Sensor Networks (i.c.sens)
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Projects of the 3rd Cohort
Uncertainty Modeling for Kinematic LiDAR-based Multi-Sensor Systems
Improved Perception of the Environment using Convolutional Neural Networks
Uncertainty modeling in LiDAR scene segmentation using neural networks
Collaborative Navigation in Cities
Uncertainty Modelling in Multiview Implicit 3D Reconstruction
Integrity for GNSS Velocity and Time
Development of a […] Particle Filter for State Estimation with Stochastic and Quantity-based Uncertainties in Sensor Networks
D. Ernst (GIH)
Uncertainty Modeling for Kinematic LiDAR-based Multi-Sensor Systems
H. Shojaei Miandashti (IKG)
Uncertainty modeling in LiDAR scene segmentation using neural networks
M. Heiken (IPI)
Uncertainty Modelling in Multiview Implicit 3D Reconstruction
M. Scherff (GIH)
Development of a […] Particle Filter for State Estimation with Stochastic and Quantity-based Uncertainties in Sensor Networks
D. Tuan Nguyen (IPI)
Improved Perception of the Environment using Convolutional Neural Networks
A. Schaper (IfE)
Collaborative Navigation in Cities
D. Kulemann (IfE)
Integrity for GNSS Velocity and Time
Projects of the 3rd Cohort
General Overview Projects of the 3rd Cohort
Uncertainty Modeling for Kinematic LiDAR-based Multi-Sensor Systems
Uncertainty modeling in LiDAR scene segmentation using neural networks
Uncertainty Modelling in Multiview Implicit 3D Reconstruction
Development of a […] Particle Filter for State Estimation with Stochastic and Quantity-based Uncertainties in Sensor Networks
Improved Perception of the Environment using Convolutional Neural Networks
Collaborative Navigation in Cities
Integrity for GNSS Velocity and Time
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