Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

<p>Chapter 1&nbsp;Reliable Real-time Message Scheduling in Automotive Cyber-Physical Systems.-&nbsp;Chapter 2&nbsp;Evolvement of Scheduling Theories for Autonomous Vehicles.-&nbsp;Chapter 3&nbsp;Distributed Coordination and Centralized Scheduling for Automobiles at Intersections.-&nbsp;Chapter 4&nbsp;Security Aware Design of Time-Critical Automotive Cyber-Physical Systems.-&nbsp;&nbsp;Chapter 5&nbsp;Secure by Design Autonomous Emergency Braking Systems in Accordance with ISO 21434.- Chapter 6&nbsp;Resource Aware Synthesis of Automotive Security Primitives.-&nbsp;Chapter 7&nbsp;Gradient-free Adversarial Attacks on 3D Point Clouds from LiDAR Sensors.-&nbsp; Chapter 8&nbsp;Internet of Vehicles- Security and Research Road map.- Chapter 9&nbsp;Protecting Automotive Controller Area Network: A Review on Intrusion Detection Methods Using Machine Learning Algorithms.-&nbsp;Chapter 10&nbsp;Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders.- Chapter 11&nbsp;Stacked LSTMs based Anomaly Detection in Time-Critical Automotive Networks.- Chapter 12&nbsp;Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems.- Chapter 13&nbsp;Physical Layer Intrusion Detection and Localization on CAN bus.- Chapter 14&nbsp;Spatiotemporal Information based Intrusion Detection Systems for In-vehicle Networks.- Chapter 15&nbsp;In-Vehicle ECU Identification and Intrusion Detection from Electrical Signaling.- Chapter 16&nbsp;Machine Learning for Security Resiliency in Connected Vehicle Applications.- Chapter 17&nbsp;Object Detection in Autonomous Cyber-Physical Vehicle Platforms: Status and Open Challenges.- Chapter 18&nbsp;Scene-Graph Embedding for Robust Autonomous Vehicle Perception.- Chapter 19&nbsp;Sensing Optimization in Automotive Platforms.- Chapter 20&nbsp;Unsupervised Random Forest Learning for Traffic Scenario Categorization.- Chapter 21&nbsp;Development of Computer Vision Models for Drivable Region Detection in Snow Occluded Lane Lines.-Chapter 22&nbsp;Machine Learning Based Perception Architecture Design for Semi-Autonomous Vehicles.- Chapter 23.-&nbsp;Predictive Control During Acceleration Events to Improve Fuel Economy.- Chapter 24&nbsp;Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic.- Chapter 25&nbsp;Evaluation of Autonomous Vehicle Control Strategies Using Resilience Engineering.- Chapter 26&nbsp;Safety-assured Design and Adaptation of Connected and Autonomous Vehicles.- Chapter 27&nbsp;Identifying and Assessing Research Gaps for Energy Efficient Control of Electrified Autonomous Vehicle Eco-driving.</p>