GRK 2159: Integrität und Kollaboration in dynamischen Sensornetzen (i.c.sens)

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

Dissertationsprojekte der 3. Kohorte

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

Letzte Änderung: 15.06.23 Druckversion

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