Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems (Paperback, 2023)

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.