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A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Crash Rate Estimation by Aerial Image Analysis
Speeding Up Optimization-based Motion Planning through Deep Learning
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Incremental Skill Learning of Stable Dynamical Systems
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
Generalization of human grasping for multi-fingered robot hands
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
Using Predictive Uncertainty for Cleaning Noisy Annotations
Refining action segmentation with hierarchical video representations
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2
A European Study to identify Key Operational Parameters for ATFM Routing Decisions
An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise
Modelling and Simulation of Spacecraft Hardware based on Machine Learning Techniques
Ultrasound image features of the wrist are linearly related to finger positions
Traffic Safety at German Roundabouts—A Replication Study
Learning Defects from Aircraft NDT data (Masterarbeit)
Representation Learning for Robot Keypoint Detection using Prior Kinematic Knowledge
Experimental Closed-Loop Excitation of Nonlinear Normal Modes on an Elastic Industrial Robot
Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise
Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography
Arm-Intent-Detection with Bio-Signals in Virtual Reality
Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs
Grant-Free Access: Machine Learning for Detection of Short Packets
Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning
Identification of Common Force-based Robot Skills from the Human and Robot Perspective
Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples
Fahrerverhaltensvorhersage an Kreisverkehren
Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry
Images in mind – Design metaphor and method to classify driver distraction in critical situations
Reinforcement Learning-based Traffic Control: Mitigating the Adverse Impacts of Control Transitions