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{ "item_title" : "Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems", "item_author" : [" Vipin Kumar Kukkala", "Sudeep Pasricha "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/128/015/3031280156_b.jpg", "price_data" : { "retail_price" : "129.99", "online_price" : "129.99", "our_price" : "129.99", "club_price" : "129.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems|Vipin Kumar Kukkala

Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

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Overview

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.


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Details

  • ISBN-13: 9783031280153
  • ISBN-10: 3031280156
  • Publisher: Springer
  • Publish Date: September 2023
  • Dimensions: 9.21 x 6.14 x 1.69 inches
  • Shipping Weight: 2.86 pounds
  • Page Count: 789

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