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Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data
Weighted Distance Metrics for Data Association Problem in Multi-Sensor Fusion
Weather Classification for Lidar based on Deep Learning
Weak Supervised Hierarchical Place Recognition with VLAD-Based Descriptor
Visual recognition of hexagonal headed bolts by comparing ICA to wavelets
Visual Odometry Integrated Semantic Constraints towards Autonomous Driving
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning
Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives
Vision-Based Real-Time Obstacle Detection System for Trains
Virtual Sensors in Small Engines – Previous Successes and Promising Future Use Cases
Virtual-Reality-Simulation (VRS) (Teilprojekt 7). BMBF-Verbundprojekt DeepC
Virtual Co-Simulation Platform for Test and Validation of ADAS and Autonomous Driving
Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine
Vibration Comfort Control for HEV Based on Machine Learning
Vibration-based Damage Detection in Bridges via Machine Learning
Vibration Analysis of Gear Defects using Machine Learning Approach
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
Vehicle Kinematics-Based Image Augmentation against Motion Blur for Object Detectors
Vehicle-Integrated Camera Based Rider Helmet Detection & Warning System
Vehicle Forward Collision Warning Based on Improved Deep Neural Network
Vehicle Following Hybrid Control Algorithm Based on DRL and PID in Intelligent Network Environment
Vehicle Detection Based on Deep Neural Network Combined with Radar Attention Mechanism
UUV teams, control from a biological perspective
Using Reinforcement Learning and Simulation to Develop Autonomous Vehicle Control Strategies
Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles
Using Deep Learning to Predict the Engine Operating Point in Real-Time
Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration
Use of Machine Learning to Predict the Injuries of the Occupant of a Vehicle Involved in an Accident
Use of Machine Learning for Real-Time Non-Linear Model Predictive Engine Control
Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors
Use of convolutional neural network for sensor modeling and on-board diagnostic
Usefulness and Time Savings Metrics to Evaluate Adoption of Digital Twin Technology
Urban traffic control based on learning agents
Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points