Virtual Sensors in Small Engines – Previous Successes and Promising Future Use Cases
Clutch Housing Temperature Prediction during Repeat Restart Test Using Machine Learning
Deep Learning Based Automotive Requirements Analysis
Impact Ice Microstructure Segmentation Using Transfer Learned Model
Intersection Traffic Safety Evaluation Using Potential Energy Filed Method
Prediction of Buckling and Maximum Displacement of Hood Oilcanning Using Machine Learning
Research of Vehicle Behavior Classification of Off-Road Motorcycles Using Gradient Boosting
Road Snow Coverage Estimation Using Camera and Weather Infrastructure Sensor Inputs
Machine Learning Based Approach for Prediction of Hood Oilcanning Performances
Flexible Architecture for Testing Connected Vehicles in Realistic Traffic
The Path to Safe Machine Learning for Automotive Applications
Usefulness and Time Savings Metrics to Evaluate Adoption of Digital Twin Technology
A Review of Digital Twin for Vehicle Predictive Maintenance System
Visual odometry with depth-wise separable convolution and quaternion neural networks
SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model