Titlebook: Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems; Vipin Kumar Kukkala,Sudeep Pasricha Book 2023 The Edit

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Deep AI for Anomaly Detection in Automotive Cyber-Physical Systemsn the ROC-AUC metric, with 94.62% fewer model parameters, 86.95% decrease in memory footprint, and 48.14% lower inference time when compared to the best performing prior work on automotive anomaly detection.

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Reliable Real-Time Message Scheduling in Automotive Cyber-Physical Systemsritical applications. One of the major challenges with time-triggered transmissions is jitter, which is the unpredictable delay-induced deviation from the actual periodicity of a message. Failure to account for jitter can have catastrophic consequences in time-critical automotive cyber-physical syst

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Distributed Coordination and Centralized Scheduling for Automobiles at Intersectionss, connected and autonomous vehicles (CAVs) provide a revolutionary solution at intersections. In this chapter, we consider connected and autonomous vehicles at intersections and introduce distributed and centralized approaches solving the problem of intersection management. The approaches provide f