Huawei Technologies Co., Limited

Sap Se

Yingbin Zheng

Honggang Wang

Jie Liu

Dong Wang

Xingtian Shi

Yugang Jiang

Philippe Nemery

Xiangyang Xue

Yan Tan

Yuanyuan Cen

Irene Chen

Terry Wang

Mark Finch

A rule handler may receive a first routing rule and a second routing rule, each routing rule characterizing at least one potential physical transportation route. A rule converter may convert the first routing rule and the second routing rule into a first finite automaton (FA) and a second finite automaton, respectively, and may combine the first finite automaton and the second finite automaton into a finite automaton network graph. A graph comparator may then compare the finite automaton network graph to existing physical transportation routes, and a route selector may select, based on the comparing, at least one feasible physical transportation route from the existing physical transportation routes, the at least one feasible physical transportation route being an instance of the at least one potential physical transportation route.

Automaton-based framework for asset network routing

A scene recognition method and apparatus are provided. The method includes obtaining multiple local detectors by training a training image set, where one local detector in the multiple local detectors corresponds to one local area of a type of target, and the type of target includes at least two local areas; detecting a to-be-recognized scene by using the multiple local detectors, and acquiring a feature, which is based on a local area of the target, of the to-be-recognized scene; and recognizing the to-be-recognized scene according to the feature, which is based on the local area of the target, of the to-be-recognized scene.

Scene recognition method and apparatus

Growing community of inventors

Shanghai, China

Yingbin Zheng