Method and device for position recognition of target object

A technology of target object and location information, applied in the field of intelligent transportation, can solve the problem of low accuracy of pedestrian detection, achieve the effect of avoiding low accuracy and reducing the amount of calculation

Active Publication Date: 2022-07-08
APOLLO INTELLIGENT CONNECTIVITY (BEIJING) TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method and device for position recognition of a target object to solve the technical problem of low pedestrian detection accuracy in the prior art

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  • Method and device for position recognition of target object
  • Method and device for position recognition of target object
  • Method and device for position recognition of target object

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Embodiment Construction

[0045] Exemplary embodiments of the present application are described below with reference to the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness. The embodiments described below and features in the embodiments may be combined with each other without conflict.

[0046]The method for recognizing the location of a target object in this embodiment of the present application can be applied to a vehicle. The vehicle can be an unmanned vehicle, or a manned vehicle with an assisted driving function. The vehicle can...

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Abstract

Embodiments of the present application provide a method and device for recognizing the position of a target object, which relate to the field of intelligent transportation, and specifically include: inputting an image collected by a front-facing camera of a vehicle into a detection model; the detection model includes a feature extraction network layer and a detection head; The feature extraction network layer extracts the features of the target object in the image to obtain the first feature map; obtains the second feature map from the first feature map, the second feature map includes part or all of the features of the target object, and the second feature map is smaller than the first feature map. A feature map; using the detection head to calculate the second feature map to obtain the position information of the target object. The embodiment of the present application can avoid the phenomenon of low accuracy of target object feature extraction caused by image cropping, and because the feature map is cropped, the amount of computation can be reduced when the cropped target feature map containing the target object features is subsequently calculated. , suitable for chips with low computing power.

Description

technical field [0001] The present application relates to intelligent transportation in the technical field of data processing, and in particular, to a method and device for identifying the location of a target object. Background technique [0002] Advanced driving assistance system (advanced driving assistance system, ADAS for short) is an important technology in the field of autonomous driving. ADAS uses various sensors installed on the vehicle to collect the data when the vehicle is running, and combines it with the map data of the navigator for calculation and analysis to complete the vehicle control. For example, pedestrian collision warning is a core function in ADAS. Pedestrian collision warning is used to detect pedestrians and issue early warning information in time when pedestrians are detected. In pedestrian detection, precise and complex algorithms can achieve high detection accuracy. However, due to the low computing power chips built into some vehicles, preci...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/58G06V40/10G06V10/40G06V10/82G06N3/02G06N3/08
CPCG06N3/02G06N3/08
Inventor 刘毅周志鹏
Owner APOLLO INTELLIGENT CONNECTIVITY (BEIJING) TECH CO LTD
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