Название: Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
Автор: Vipin Kumar Kukkala, Sudeep Pasricha
Издательство: Springer
Год: 2023
Страниц: 782
Язык: английский
Формат: pdf (true)
Размер: 32.1 MB

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 cyber-physical systems, using advanced optimization and Machine Learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles. Modern vehicles are examples of complex cyber-physical systems (CPS) with tens to hundreds of interconnected Electronic Control Units (ECUs) that manage various vehicular subsystems. The modern CAV ecosystem is characterized by increased ECU count, greater software complexity, and highly complex heterogeneous vehicular networks (within and outside the vehicle). Moreover, the aggressive attempts of automakers to make vehicles fully autonomous have led to the adoption of Artificial Intelligence (AI)-based techniques for advanced perception and control.

Название: Unmanned Aviation: A Brief History of Unmanned Aerial Vehicles
Автор: Laurence R Newcome
Издательство: Pen & Sword
Год: 2004
Формат: PDF
Страниц: 188
Размер: 122,5 МБ
Язык: Английский

In the 1990s, the author oversaw development of two of the Pentagons most advanced UAVs. As he looked at the history of unmanned planes, he noticed that each time a conflict broke out, well-intentioned American engineers would get to work on the latest unmanned concepts all but blind to the work of those who came before them.