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3D vehicle sensor based on monocular vision
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
Acoustic Monitoring of Rail Faults in the German Railway Network
A crash severity analysis at highway-rail grade crossings: The random survival forest method
Adaptive human-robot policy blending for shared control teleoperation
Adaptive navigation of automated vehicles by image analysis techniques
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
A data-centric weak supervised learning for highway traffic incident detection
A data-driven dynamics simulation framework for railway vehicles
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
A fault tolerant neural network for space-based 3D printing quality assessment
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
A Grey Box Model Approach for the Prediction of Tire Energy Loss
A hybrid machine learning model for predicting Real-Time secondary crash likelihood
AI-based Wave Prediction in Complex Plasmas
A literature review of machine learning algorithms for crash injury severity prediction
A machine learning approach to crater detection from topographic data
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations
A methodology for photometric validation in vehicles visual interactive systems
Analyzing angle crashes at unsignalized intersections using machine learning techniques
An architectural framework for self-configuration and self-improvement at runtime
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
A new scheme for vision based flying vehicle detection using motion flow vectors classification
An integrated data- and theory-driven crash severity model
An interpretable clustering approach to safety climate analysis: Examining driver group distinctions
Anwendungen akustischer Ereigniserkennung im Automobil
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models