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Table of Contents
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 7 Gradient-free Adversarial Attacks on 3D Point Clouds from LiDAR Sensors
Chapter 8 Internet of Vehicles- Security and Research Road map
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 LSTMs 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
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.
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 7 Gradient-free Adversarial Attacks on 3D Point Clouds from LiDAR Sensors
Chapter 8 Internet of Vehicles- Security and Research Road map
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 LSTMs 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
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.