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Abnormality detection apparatus and vehicle system

An anomaly detection and anomaly technology, applied to vehicle parts, transportation and packaging, character and pattern recognition, etc., to reduce the processing burden

Active Publication Date: 2019-01-04
RENESAS ELECTRONICS CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it is impossible to detect anomalies in cameras whose field of view does not overlap any other camera

Method used

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  • Abnormality detection apparatus and vehicle system
  • Abnormality detection apparatus and vehicle system
  • Abnormality detection apparatus and vehicle system

Examples

Experimental program
Comparison scheme
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no. 1 example

[0037] Next, details of the embodiment are described. figure 2 is a schematic diagram showing an example of a positional relationship between elements constituting the vehicle system 10 according to the first embodiment. The vehicle system 10 includes cameras 101A to 101D as information input devices installed in the vehicle 100 and other components installed in the vehicle 100 . Note that in figure 2 In the example shown, four cameras are shown. However, the vehicle system 10 needs to be equipped with only two or more cameras. exist figure 2 In the example shown, control means such as brakes 102 and steering wheel 103 and information output means such as warning display means 104 are shown as further components. Furthermore, the vehicle system 10 includes an ECU (Electronic Control Unit) 105 .

[0038] The cameras 101A to 101D, the brake 102, the steering wheel 103, and the warning display unit 104 are connected to the ECU 105 which recognizes information, determines ...

no. 2 example

[0104] Next, a second embodiment is described. In the first embodiment, the comparison area has a rectangular shape. That is, the second abnormality detection unit 203 uses a pre-designated rectangular area (for example, rectangular area R4 A or R4 B ) to create the frequency distribution of the optical flow of the feature points. In contrast, in the second embodiment, the comparison area has a circular shape. That is to say, in the second embodiment, by pre-designated circular areas in the overlapping extraction area (for example, Figure 8 The rectangular region R5 in A or R5 B ) to create the frequency distribution of the optical flow of the feature points. Hereinafter, a second embodiment is described. However, descriptions of configurations and operations similar to those of the first embodiment are omitted.

[0105] As described above, when the shooting directions of a plurality of cameras to be compared are different from each other, it is necessary to create a ...

no. 3 example

[0109] Next, a third embodiment is described. In the first and second embodiments, abnormality is determined based only on information obtained from images. In contrast, in the present embodiment, information on the movement of the vehicle is considered for determining abnormality of the image acquired from the camera. Hereinafter, a third embodiment is described. However, descriptions of configurations and operations similar to those of the first and second embodiments are omitted.

[0110] Figure 9 is a block diagram showing an example of the hardware configuration of the vehicle system 11 according to the third embodiment. Vehicle system 11 is different from image 3 The vehicle system 10 shown is characterized in that the vehicle system 11 further includes a GNSS device 107 and a positioning MCU 115 .

[0111] The GNSS device 107 is a terminal for obtaining positioning information of the vehicle 100 based on a GNSS (Global Navigation Satellite System) signal. A posi...

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PUM

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Abstract

The invention relates to an abnormality detection apparatus and vehicle system. The abnormality detection apparatus includes a feature extraction unit configured to extract an image feature accordingto a common algorithm, a flow calculation unit, a first abnormality detection unit, and a second abnormality detection unit. An extraction range for the image feature is composed of a predetermined first partial area in a first image, a predetermined second partial area in a second image, and areas near places in the first and second images predicted as destinations of the feature point. The firstabnormality detection unit detects an abnormality in the first (second) image based on an optical flow for a feature point in the first (second) partial area. The second abnormality detection unit detects an abnormality by using a feature point in a first overlapped extraction area defined in a first overlapped area and a feature point in a second overlapped extraction area defined in a second overlapped area.

Description

technical field [0001] The present disclosure relates to an anomaly detection device and a vehicle system. Background technique [0002] A device for detecting abnormality of a camera is known. For example, in the techniques disclosed in Japanese Unexamined Patent Application Publication Nos. 2016-15638 and 11-177964, by specifying or extracting overlapping regions in a plurality of images captured by the respective cameras and comparing the overlapping regions in the images features to detect camera anomalies. In these techniques, it is necessary that the fields of view of at least two cameras overlap each other. Therefore, it is impossible to detect abnormality of a camera whose shooting range does not overlap with any other camera. [0003] In order to detect abnormality of such a camera, there is an abnormality detection method using continuity of optical flow. In this method, the features in the image are extracted according to a predetermined algorithm (for example...

Claims

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Application Information

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IPC IPC(8): H04N17/00
CPCH04N17/002G06T2207/30252G06T7/246G06V20/56B60R11/04B60R2011/0003G06F18/2163G06T7/20G06T2207/30244
Inventor 梶原裕辉宫川纮辅西部昌树屉原健太郎
Owner RENESAS ELECTRONICS CORP
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