Sensing Optimization in Automotive Platforms
Reliable Real-Time Message Scheduling in Automotive Cyber-Physical Systems
Security-Aware Design of Time-Critical Automotive Cyber-Physical Systems
Stacked LSTM Based Anomaly Detection in Time-Critical Automotive Networks
Machine Learning Based Perception Architecture Design for Semi-autonomous Vehicles
Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems
Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders
Distributed Coordination and Centralized Scheduling for Automobiles at Intersections
Resource Aware Synthesis of Automotive Security Primitives
Evolvement of Scheduling Theories for Autonomous Vehicles
Object Detection in Autonomous Cyber-Physical Vehicle Platforms: Status and Open Challenges
Multi-agent system architecture for zero defect multi-stage manufacturing
Safety-Assured Design and Adaptation of Connected and Autonomous Vehicles
Unsupervised Random Forest Learning for Traffic Scenario Categorization
In-Vehicle ECU Identification and Intrusion Detection from Electrical Signaling
Gradient-Free Adversarial Attacks on 3D Point Clouds from LiDAR Sensors
Spatiotemporal Information Based Intrusion Detection Systems for In-Vehicle Networks