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Job Advertisement 3rd Cohort
- Improved perception of the environment using convolutional neural networks
- Uncertainty Estimation for Multi-view Stereo Reconstruction
- Stereo-based pedestrian tracking and re-identification from moving sensors
- Safety and integrity measures for GNSS velocity and time in dynamic sensor networks
- Development of a Collaborative Robust Particle Filter for State Estimation with Stochastic and Quantity-based Uncertainties in Sensor Networks
- Predicting behavior of objects and phenomena and storing them in maps
- Uncertainty modelling in LiDAR scene segmentation using neural networks
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Job Advertisement 3rd Cohort
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Research
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PhD Projects
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Projects of the 1st cohort
- Alternative integrity measures
- Development of a Filter Model
- Semantic Segmentation
- Optimal collaborative positioning
- Dynamic Control Information
- Collaborative Pedestrian Tracking
- Integrity information-based georeferencing
- Massively collaborative acquisition of dynamic environments
- Bounded-Error Visual-Lidar Odometry
- Fusing Geometrical Knowledge with Deep Learning
- Classification and Change Detection of high-resolution point clouds
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Projects of the 2nd Cohort
- Bounding and Propagating
- Validation and quality assurance concepts
- Integrity measures
- Collaborative navigation
- Detection and collaborative tracking considering UAV based Images
- Collaborative positioning
- Integrity contained navigation
- Localization and mapping
- Combining probabilistic and interval-based error models
- Associated Projects
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Projects of the 1st cohort
- Completed Dissertations
- PostDoc Projects
- Mapathons
- Toolkit "Collaborative Integrity"
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PhD Projects
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Last Change: 28.01.20
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