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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cybe...

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Bibliographic Details
Other Authors: Kukkala, Vipin Kumar (Editor), Pasricha, Sudeep (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Subjects:
Electronics Design And Verification
Embedded Systems
Embedded Computer Systems
Electronic Circuit Design
Cyber-physical Systems
Cooperating Objects (computer Systems)
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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 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
  • 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

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