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learning
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Wind tunnel testing of a smart rotor model with trailing-edge flaps
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
Weakly Supervised Metric Learning for Traffic Sign Recognition in a LIDAR-Equipped Vehicle
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
Visual guidance during bicycle steering through narrow lanes: a study in children
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 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 modeling improves pipeline performance, costs
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 Type Classification Using a Semisupervised Convolutional Neural Network
Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
Vehicle merging algorithm for automated transportation systems using fuzzy logics
Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy
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 in driving simulation using extreme learning machine
Vehicle Detection Based on Deep Neural Network Combined with Radar Attention Mechanism
Vehicle Color Recognition With Spatial Pyramid Deep Learning
Validity index in dynamic cell structures
UUV teams, control from a biological perspective
Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking
Using Reinforcement Learning and Simulation to Develop Autonomous Vehicle Control Strategies
Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles