Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing University of Chemical Tehcnology

Jingwei Wang

Wei Zhang

Li Wang

Yang Zhou

Yu Sun

Zhiwei Li

Zhi Hong Li

Qifan Tan

Tianyu Shen

Kunfeng Wang

Ao Zhang

Jiaxiang Liu

Ruosen Hao

A method and apparatus for localizing an intelligent vehicle in a dynamic scene are provided. The localizing method includes: processing an RGB image using a target detection model to determine a rectangular box of a movable object; converting first point cloud data and second point cloud data to a pixel coordinate system, and dividing the movable object into a static object and a dynamic object; converting the second point cloud data of the movable object in the pixel coordinate system to a map coordinate system to obtain a semantic point cloud map; converting the second point cloud data of a communication area, and of a rectangular box, in the pixel coordinate system to the map coordinate system to obtain a static point cloud map; and determining observation weights for objects in the second point cloud data, and thereby determining pose information of the intelligent vehicle at the current time.

Method and apparatus for localizing intelligent vehicle in dynamic scene

Embodiments of the present disclosure disclose a method and apparatus for determining a topic. A specific embodiment of the method comprises: determining a to-be-recognized sentence sequence; calculating similarities between the to-be-recognized sentence sequence and each of topic templates in a topic template set in a target area, the each of the topic templates in the topic template set corresponding to a topic in at least one topic in the target area, the topic template including a topic section sequence, and a topic section including a topic sentence sequence; and determining a topic of the to-be-recognized sentence sequence according to an associated parameter, the associated parameter including the similarities between the to-be-recognized sentence sequence and the each of the topic templates in the topic template set. This embodiment reduces labor costs during a topic segmentation.

Method and apparatus for determining a topic

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Beijing, China

Jingwei Wang