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Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Static Targets Recognition and Tracking Based on Millimeter Wave Radar
Driver Identification Using Multivariate In-vehicle Time Series Data
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Toward a Framework for Highly Automated Vehicle Safety Validation
Auto-Tuning PID Controller on Electromechanical Actuators Using Machine Learning
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Coordinated EV Charging Based on Charging Profile Clustering and Rule-Based Energy Management
Reinforcement Learning Enhanced New Energy Vehicle Dynamic Subsidy Strategies
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software