Deep Learning and Big Data for Intelligent Transportation

Deep Learning and Big Data for Intelligent Transportation

Enabling Technologies and Future Trends

Ahmed, Khaled R.; Hassanien, Aboul Ella

Springer Nature Switzerland AG

04/2022

264

Mole

Inglês

9783030656638

15 a 20 dias

427

Descrição não disponível.
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.
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Big Data;Computational Intelligence;Big Data and Autonomous Vehicles;Deep Learning for transportation models;Intelligent Transportation