Standards Database

Recommendation ITU-T Y.3180 specifies the mechanism of traffic awareness for application_x0002_descriptor-agnostic traffic based on machine learning. This Recommendation specifies the following aspects related to traffic awareness for application-descriptor-agnostic traffic including an overview, general mechanism, used machine learning methods, implementation consideration…

Recommendation ITU-T Y.3654 specifies the mechanisms of machine learning in big data driven networking (bDDN). A set of related aspects of machine learning in bDDN are presented, these aspects include: overview, learning procedure, deployment, interfaces, learning path and control path,…

Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence (AI). Recommendation ITU-T M.3381 explains the requirements of using AI technology to achieve energy saving management for communication units and…

Recommendation ITU-T Y.4471 defines a reference functional architecture of network-based driving assistance (NDA) for autonomous vehicles. It clarifies the concept of NDA, specifies key functional entities and defines reference points between entities. The use cases and operational procedures are also…

A deep learning software framework provides an easy and fast way for manufactures to develop their own artificial intelligence (AI) applications. However, different frameworks show different performances under different scenarios. Recommendation ITU-T F.748.12 helps to evaluate deep learning software frameworks…

This guide is intended to be used by manufacturers and users of A-UGVs: (1) to fully define capabilities of their A-UGV(s) or (2) to allow the standard requestor to describe the A-UGV capabilities required for the requested A-UGV to align…

What does BSI Flex 1889 cover? BSI Flex 1889 v1.0 specifies requirements for a structured natural language format for test scenario definition of automated driving systems (ADS) Level 3 and higher. It provides a set of mandatory and optional attributes…

Recommendation ITU-T P.565 provides the output of the framework which is a machine learning based speech quality prediction model that predicts the impact on speech quality from Internet protocol (IP) transport and underlying transport, as well as a standardized or…

This document summarizes the work carried out by the sub-working group “conceptual approach” which aimed to develop elements of an approach that meet the general objectives set out above on the basis of case studies of care processes. This documentation…

This standard specifies helps organizations protect human values and incorporate ethics in their design and use of automated decision systems. It is limited to artificial intelligence using machine learning for automated decisions. This standard provides a framework and process to…

1.1 This test method measures an automatic/automated/autonomous-unmanned ground vehicle (A-UGV) kinetic energy reduction when objects appear in the A-UGV path and within the stop-detect range of the vehicle safety sensors in situations in which the desired reaction is for the…

ANSI/UL 4600 Standard for Safety for the Evaluation of Autonomous Products encompasses fully autonomous systems that move such as self-driving cars along with applications in mining, agriculture, maintenance, and other vehicles including lightweight unmanned aerial vehicles (UAVs). It seeks to…