Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

Chapter 1 Reliable Real-Time Message Scheduling in Automotive Cyber-Physical Systems

Chapter 2 Evolvement of Scheduling Theories for Autonomous Vehicles

Chapter 3 Distributed Coordination and Centralized Scheduling for Automobiles at Intersections

Chapter 4 Security-Aware Design of Time-Critical Automotive Cyber-Physical Systems

Chapter 5 Secure by Design Autonomous Emergency Braking Systems in Accordance with ISO 21434

Chapter 6 Resource Aware Synthesis of Automotive Security Primitives

Chapter 8 Internet of Vehicles: Security and Research Roadmap

Chapter 9 Protecting Automotive Controller Area Network: A Review on Intrusion Detection Methods Using Machine Learning Algorithms

Chapter 10 Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders

Chapter 11 Stacked LSTM Based Anomaly Detection in Time-Critical Automotive Networks

Chapter 12 Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems

Chapter 13 Physical Layer Intrusion Detection and Localization on CAN Bus

Chapter 14 Spatiotemporal Information Based Intrusion Detection Systems for In-Vehicle Networks

Chapter 15 In-Vehicle ECU Identification and Intrusion Detection from Electrical Signaling

Chapter 16 Machine Learning for Security Resiliency in Connected Vehicle Applications

Chapter 17 Object Detection in Autonomous Cyber-Physical Vehicle Platforms: Status and Open Challenges

Chapter 18 Scene-Graph Embedding for Robust Autonomous Vehicle Perception

Chapter 19 Sensing Optimization in Automotive Platforms

Chapter 20 Unsupervised Random Forest Learning for Traffic Scenario Categorization

Chapter 21 Development of Computer Vision Models for Drivable Region Detection in Snow Occluded Lane Lines

Chapter 22 Machine Learning Based Perception Architecture Design for Semi-autonomous Vehicles

Chapter 23 Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems: Predictive Control During Acceleration Events to Improve Fuel Economy

Chapter 24 Learning-Based Social Coordination to Improve Safety and Robustness of Cooperative Autonomous Vehicles in Mixed Traffic

Chapter 25 Evaluation of Autonomous Vehicle Control Strategies Using Resilience Engineering

Chapter 26 Safety-Assured Design and Adaptation of Connected and Autonomous Vehicles

Chapter 27 Identifying and Assessing Research Gaps for Energy Efficient Control of Electrified Autonomous Vehicle Eco-Driving