Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends
暫譯: 深度學習與大數據在智慧交通中的應用：技術支撐與未來趨勢

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.