A vehicle orientation obtaining method and a related device

An acquisition method and an acquisition device technology, which are applied in the field of vehicle orientation acquisition and can solve problems such as inability to accurately identify vehicle orientation

Active Publication Date: 2019-05-28
NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] It can be seen that some existing methods cannot accurately identify the vehicle orientation,

Method used

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  • A vehicle orientation obtaining method and a related device
  • A vehicle orientation obtaining method and a related device
  • A vehicle orientation obtaining method and a related device

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0067] see figure 1 , which is a flow chart of a method for acquiring a vehicle orientation provided in an embodiment of the present application.

[0068] Such as figure 1 As shown, the vehicle orientation acquisition method provided in this embodiment includes:

[0069] Step 101: Obtain a bird's-eye view image of the vehicle, where the bird's-eye view image includes pointing information of the lane where the vehicle is located.

[0070] In practical applications, aerial photography by drones or camera devices set up at high altitudes can be used to collect top-view images of vehicles. A top-down image may contain one or more vehicles, each driving in a lane.

[0071] It can be understood that the driving direction of each lane in the bird's-eye view image is predetermined, for example, from south to north, from east to west, and so on. Whether it is manual recognition or machine recognition, the direction information of the lane where the vehicle is located can be obtaine...

no. 2 example

[0094] see Figure 6 , which is a flow chart of another vehicle orientation acquisition method provided in the embodiment of the present application.

[0095] Such as Figure 6 As shown, the vehicle orientation acquisition method provided in this embodiment includes:

[0096] Step 601: Obtain a bird's-eye view image of the vehicle, where the bird's-eye view image includes pointing information of the lane where the vehicle is located.

[0097] Step 602: Using a deep neural network to segment the bird's-eye view image to obtain a processed image, the processed image includes a closed area representing the vehicle.

[0098] It should be noted that, in this embodiment, step 601 and step 602 are implemented in the same manner as step 101 and step 102 in the foregoing embodiment, and relevant descriptions about step 601 and step 602 may refer to the foregoing embodiment. This will not be described in detail in this embodiment.

[0099] Step 603: Obtain coordinate values ​​of edg...

no. 3 example

[0121] see Figure 8 , which is a schematic structural diagram of a vehicle orientation acquisition device provided in an embodiment of the present application.

[0122] Such as Figure 8 As shown, the vehicle orientation acquisition device provided in this embodiment includes: an image acquisition module 801 , an image segmentation module 802 , a rectangle acquisition module 803 and a vehicle orientation determination module 804 .

[0123] Wherein, the image acquiring module 801 is configured to acquire a bird's-eye view image of the vehicle, where the bird's-eye view image includes pointing information of the lane where the vehicle is located;

[0124] An image segmentation module 802, configured to perform segmentation processing on the bird's-eye view image using a deep neural network to obtain a processed image, the processed image including a closed area representing the vehicle;

[0125] A rectangle obtaining module 803, configured to obtain a rectangle according to t...

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Abstract

The invention discloses a vehicle orientation obtaining method and a related device. The method comprises the steps of firstly obtaining a top view image of a vehicle, wherein the top view image comprises pointing information of a lane where the vehicle is located; carrying out segmentation processing on the top view image by utilizing a deep neural network to obtain a processed image, the processed image comprising a closed area representing the vehicle; obtaining a rectangle according to the closed area; And finally, determining the orientation of the vehicle by utilizing the pointing information of the rectangle and the lane. When the deep neural network is utilized to segment and process the image, the method is not influenced by the vehicle pose in the image, and compared with the prior art, the method has the advantages that the application range of vehicle identification is wider, that is, the orientation of a non-horizontal or non-vertical pose vehicle can also be accurately identified. In addition, in combination with the pointing information of the lane, the vehicle represented by the rectangle is matched with the pointing of the lane in the actual road condition, and theobtained vehicle orientation accuracy is effectively improved.

Description

technical field [0001] The present application relates to the technical field of intelligent transportation, in particular to a method for acquiring vehicle orientation and a related device. Background technique [0002] With the improvement of people's living standards, the number of vehicles used by people for travel in daily life is also increasing. In order to provide more convenient services for people to travel and park, there are currently some map systems and parking systems that provide users with driving path planning for their own vehicles by intelligently identifying vehicles in the driving scene. [0003] However, vehicle orientation information is very important for driving path planning. This is because there may be a deviation between the orientation of the vehicle and the direction of the lane, and the orientation of the vehicle is often related to the subsequent driving behavior of the vehicle. Therefore, if the obtained vehicle orientation is inaccurate,...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/11G06T7/187G06T7/70
Inventor 苏英菲
Owner NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
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