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Device for improving automatic driving reliability and automatic driving system

An automatic driving and reliability technology, applied in the direction of control/adjustment system, two-dimensional position/channel control, non-electric variable control, etc., can solve the safety hazards that affect the accuracy of sensors, can not normally perceive obstacles and locate vehicles, etc. problems, to achieve the effect of eliminating potential safety hazards, avoiding accuracy, and improving reliability

Active Publication Date: 2018-06-15
FAFA AUTOMOBILE (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention is to solve the potential safety hazards caused by the automatic driving system not being able to perceive obstacles and locate the vehicle normally when the external environment affects the accuracy of the sensor detection results in the prior art

Method used

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  • Device for improving automatic driving reliability and automatic driving system
  • Device for improving automatic driving reliability and automatic driving system
  • Device for improving automatic driving reliability and automatic driving system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] This embodiment provides a method for improving the reliability of automatic driving, which is applied to the automatic driving system of the vehicle, such as figure 1 shown, including the following steps:

[0041] S101: Obtain a detection result of an environmental feature value within a preset sensor working area. Wherein the preset sensors are used to provide data detection during the automatic driving process, such as distance sensors, speed sensors, lidar and cameras. For each sensor it has a corresponding working area. by figure 2 Taking the car shown as an example, the lidar 201 is installed on the top of the lidar. The working area of ​​the lidar is centered on its installation position, and can be detected within a 360-degree range. The detection distance can be determined according to different configurations of the lidar. The front and rear of the car are fixed with cameras 202 and 203. For the front camera 202, its working area is within 180 degrees of t...

Embodiment 2

[0048] On the basis of Embodiment 1, the preset sensor in this embodiment is a laser radar, and the environmental feature value includes light intensity, and its specific implementation method is as follows image 3 Shown:

[0049] S201: Obtain a detection result of the light intensity in the lidar working area. The working area of ​​the lidar is the 360-degree range around the installation position of the lidar.

[0050] S202: Determine whether the detection result of the light intensity is greater than the upper limit threshold of the light intensity when the lidar works normally, and if so, perform step S203, otherwise, perform step S204.

[0051] S203: Shield the detection result of the lidar.

[0052] S204: Obtain a detection result of the lidar.

[0053] Because the detection results of the lidar are greatly affected by the light intensity, when the light intensity is too high, it may cause the wrong measurement of the lidar, so the upper limit threshold of the light ...

Embodiment 3

[0055] and image 3 The solutions shown are similar. In this embodiment, the preset sensor can also be a camera, and the environmental characteristic value includes light intensity, and its specific implementation method is as follows Figure 4 Shown:

[0056] S301: Obtain the detection result of the light intensity in the working area of ​​the camera, where the working area of ​​the camera is the area covered by the shooting angle of view.

[0057] S302: Determine whether the detection result of the light intensity is greater than the upper limit threshold of the light intensity when the camera works normally, if so, perform step S305, otherwise, perform step S303.

[0058] S303: Determine whether the detection result of the light intensity is less than the lower limit threshold of the light intensity when the camera works normally, if so, perform step S305, otherwise, perform step S304.

[0059] S304: Obtain a detection result of the camera.

[0060] S305: Shield the dete...

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Abstract

The embodiment of the invention provides a device for improving automatic driving reliability and an automatic driving system. In the device for improving the automatic driving reliability, a characteristic acquisition module firstly acquires detection results of environment characteristic values in preset sensor working regions; and in a processing module, if the detection results are not in an environment characteristic value permissible range of preset sensors, the detection results of the preset sensors are shielded. In other words, for each preset sensor, if the external environment characteristic value cannot guarantee the accuracy of an output result of the corresponding preset sensor, the detection result of the corresponding preset sensor is not adopted as input of following modules, the situation that the detection results with wrong information are adopted and affect obstacle sensing and vehicle locating accuracy is avoided, the reliability of the automatic driving process is improved, and potential safety hazards are eliminated.

Description

technical field [0001] The invention relates to the technical field of vehicle intelligent control, in particular to a device for improving the reliability of automatic driving and an automatic driving system. Background technique [0002] Existing vehicles capable of autonomous driving are generally equipped with a variety of sensors to realize obstacle perception and vehicle positioning functions during automatic driving. Lidar has high reliability and can provide rich 3D detection results, while cameras can provide color information and have obvious price advantages. Therefore, the current autonomous driving technology mainly relies on the detection results of LiDAR and cameras to achieve Obstacle perception and localization during autonomous driving. [0003] However, the work of lidar and camera will be affected by external environmental factors. Natural factors such as light and rain will affect the detection results of lidar and camera. For example, under strong li...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W40/02G05D1/02
CPCB60W40/02G05D1/0231G05D1/0257
Inventor 史骞
Owner FAFA AUTOMOBILE (CHINA) CO LTD
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