ETRI-Knowledge Sharing Plaform

Edge Computing Computing Technology Multi-Object Tracking Need For Artificial Neural Network Computing Power Cloud Edge Container Orchestration Data Traffic High Availability High-Level Feature Multi-Input Sequential Processing Operation Performance Real-Time Video Analysis Autonomous Vehicle Ai Applications Energy Efficiency Power And Energy Management Real-Time Analysis Application Services Data Volume Exponential Growth Edge Detection Limited Resources Tracking Trajectories Tracking Problem Cloud Service Dynamic Power Management Flexible Architecture Heterogeneous Server Low-Level Feature Mobile Devices Single Server Object Detection Real-Time Processing Real-World Autonomous Driving Distributed Requirements Data Transmission Delay Distributed Cloud Design And Implementation Deep Learning Models Deep Neural Network(DNN) Heterogeneous Systems Large-Scale Multiple Objects Tracking System Structure Performance Degradation Video Surveillance Real-Time Conditions Accuracy Improvement Cloud Computing Data Processing Deep Learning Framework Edge Devices Intelligent Service Low Latency Computer Vision(CV) Distributed Processing Energy Saving Technology Learning-Based Service Failure Real-Time Requirements Edge Services Fast Data Internet Data