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A flexible approach to close-range 3-D modeling
Optimal sorting of rolling stock
New contributions to space debris environment modeling
Random finite set-based localization and SLAM for highly automated vehicles
Exploiting Prior Knowledge in Robot Motion Skills Learning
Non-parametric Bayesian filtering for multiple object tracking
Machine learning in predictive maintenance of industrial robots
Landing Gear Positioning and Structural Mass Optimization for a Large Blended Wing Body Aircraft
Airframe noise prediction using a discontinuous Galerkin method
Trusted health assessment of dynamic systems based on hybrid joint estimation
On broadcast encryption for secure software delivery to automobiles
A semi-analytical model for the post-buckling analysis of stiffened cylindrical panels