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Automated Vehicles: A Human/Machine Co-learning Perspective
Variational Autoencoders for Dimensionality Reduction of Automotive Vibroacoustic Models
Multi-objective Online Energy Management Strategies for Fuel Cell Bus Considering Stack Efficiency
Automatic Segmentation of Aircraft Dents in Point Clouds (SAE Paper 2022-01-0022)
Drive Right: Autonomous Vehicle Education through an Integrated Simulation Platform
Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization
Unsettled Topics in the General Aviation Autonomy Landscape
The Autonomous Racing Software Stack of the KIT19d
Toward a Machine Learning Development Lifecycle for Product Certification and Approval in Aviation
Active Learning Optimization for Boundary Identification Using Machine Learning-Assisted Method
An On-Line Path Correction Method Based on 2D Laser Profile Measurement for Gluing Robot
Design and Optimization of a P4 mHEV Powertrain
A Humanized Vehicle Speed Control to Improve the Acceptance of Automated Longitudinal Control
Dynamic Durability Prediction of Fuel Cells Using Long Short-Term Memory Neural Network
Process Improvement for Tire Reusability
Automated Vehicles, the Driving Brain, and Artificial Intelligence
Research on Gesture Recognition Algorithm Based on Millimeter-Wave Radar in Vehicle Scene
Model in the loop for training purpose
Machine Learning Approaches for Lithium-Ion Battery Health Parameters Estimation
Multi-Objective Adaptive Cruise Control via Deep Reinforcement Learning
End-to-End Synthetic LiDAR Point Cloud Data Generation and Deep Learning Validation
Embracing Live-Stream Video: A Virtual Conundrum
Deep Self-Supervised Learning Models for Automotive Systems
Supervised Terrain Classification with Adaptive Unsupervised Terrain Assessment
Object Detection Method of Autonomous Vehicle Based on Lightweight Deep Learning
A Willingness to Learn: Elder Attitudes toward Technology
Automatic and Interpretable Predictive Maintenance System
Tanker Truck Rollover Avoidance Using Learning Reference Governor
Using Deep Learning to Predict the Engine Operating Point in Real-Time
Low-Speed Autonomous Shuttles - Lessons Learned from Real-World Implementation
A Real-Time Intelligent Speed Optimization Planner Using Reinforcement Learning
Prediction of Lane Change on the Expressway Based on Logistic Regression
Qualification of Aerospace Personnel Performing Special Processes
Robust Behavioral Cloning for Autonomous Vehicles Using End-to-End Imitation Learning