Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends

Ahmed, Khaled R., Hassanien, Aboul Ella

  • 出版商: Springer
  • 出版日期: 2022-04-12
  • 售價: $7,850
  • 貴賓價: 9.5$7,458
  • 語言: 英文
  • 頁數: 276
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030656632
  • ISBN-13: 9783030656638
  • 相關分類: 大數據 Big-dataDeepLearning
  • 海外代購書籍(需單獨結帳)

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Part I: Big Data and Autonomous Vehicles.- Big Data Technologies with Computanational Model Computing using HADOOP with Scheduling Challeges.- Big Data for Autonomous Vehicles.- Part II: Deep Learning &Object detection for Safe driving.- Analysis of Target Detection and Tracking for Intelligent Vision System.- Enhanced end-to-end system for autonomous driving using deep convolutional networks.-Deep Learning Technologies to mitigate Deer-Vehicle Collisions.- Night-to-Day Road Scene Translation Using Generative Adversarial Network with Structural Similarity Loss for Night Driving Safety.- Safer-Driving: Application of Deep Transfer Learning to Build Intelligent Transportation Systems.- Leveraging CNN Deep Learning Model for Smart Parking.- Estimating Crowd Size for Public Place Surveillance using Deep Learning.- Part III: AI & IoT for intelligent transportation.- IoT Based Regional Speed Restriction Using Smart Sign Boards.- Synergy of Internet of Things with Cloud, Artificial Intelligence and Blockchain for Empowering Autonomous Vehicles.- Combining Artificial Intelligence with Robotic Process Automation - An Intelligent Automation Approach.