JP2012198857A5 - - Google Patents
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- JP2012198857A5 JP2012198857A5 JP2011064048A JP2011064048A JP2012198857A5 JP 2012198857 A5 JP2012198857 A5 JP 2012198857A5 JP 2011064048 A JP2011064048 A JP 2011064048A JP 2011064048 A JP2011064048 A JP 2011064048A JP 2012198857 A5 JP2012198857 A5 JP 2012198857A5
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- movement vector
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Claims (5)
異なる時刻において前記撮像部(2)により取得された二つの画像から、それぞれ少なくとも一つの特徴点を抽出する特徴点抽出部(432)と、
前記二つの画像からそれぞれ抽出された特徴点のうち、同一の物体に関する二つの特徴点を対応付け、当該対応付けられた特徴点間の画像上の位置の差を求めることにより、当該物体の画像上の移動量及び移動方向を表す観測移動ベクトルを求める観測移動ベクトル算出部(435)と、
前記二つの画像のうちの一方から抽出された前記特徴点のそれぞれについて、前記二つの画像のそれぞれの取得時刻の間における前記撮像部(2)の移動に起因する、画像上での前記物体の移動量及び移動方向を表す見かけの移動ベクトルの最小値を算出する最小見かけ移動ベクトル算出部(434)と、
前記二つの画像のうちの一方から抽出された前記特徴点のそれぞれについて、前記観測移動ベクトルから前記見かけの移動ベクトルの最小値を減じることにより、補正移動ベクトルを算出する移動ベクトル補正部(436)と、
前記二つの画像のうちの一方から抽出された前記特徴点のうちの少なくとも一つの特徴点についての前記補正移動ベクトルに、前記車両(10)の進行方向に接近する方向の移動成分が含まれる場合に、前記物体は前記車両に接近する移動物体であると判定する判定部(437)と、
を有することを特徴とする接近物体検知装置。 An imaging unit (2) that is mounted on the vehicle (10) and sequentially acquires images obtained by photographing the periphery of the vehicle (10);
A feature point extraction unit (432) that extracts at least one feature point from each of the two images acquired by the imaging unit (2) at different times;
Among the feature points extracted from the two images, two feature points related to the same object are associated with each other, and a difference in position on the image between the associated feature points is obtained. An observation movement vector calculation unit (435) for obtaining an observation movement vector representing the movement amount and movement direction above;
For each of the feature points extracted from one of the two images, the object on the image is caused by the movement of the imaging unit (2) between the respective acquisition times of the two images. A minimum apparent movement vector calculation unit (434) for calculating a minimum value of an apparent movement vector representing a movement amount and a movement direction;
For each of the feature points extracted from one of the two images, a movement vector correction unit (436) that calculates a correction movement vector by subtracting the minimum value of the apparent movement vector from the observed movement vector. When,
When the corrected movement vector for at least one of the feature points extracted from one of the two images includes a movement component in a direction approaching the traveling direction of the vehicle (10). And a determination unit (437) that determines that the object is a moving object approaching the vehicle;
An approaching object detection device comprising:
異なる時刻において前記撮像部(2)により取得された二つの画像から、それぞれ特徴点を抽出するステップと、
前記二つの画像からそれぞれ抽出された特徴点のうち、同一の物体に関する二つの特徴点を対応付け、当該対応付けられた特徴点間の画像上の位置の差を求めることにより、当該物体の画像上の移動量及び移動方向を表す観測移動ベクトルを求めるステップと、
前記二つの画像のうちの一方から抽出された前記特徴点のそれぞれについて、前記二つの画像のそれぞれの取得時刻の間における前記撮像部(2)の移動に起因する、画像上での前記物体の移動量及び移動方向を表す見かけの移動ベクトルの最小値を算出するステップと、
前記二つの画像のうちの一方から抽出された前記特徴点のそれぞれについて、前記観測移動ベクトルから前記見かけの移動ベクトルの最小値を減じることにより、補正移動ベクトルを算出するステップと、
前記二つの画像のうちの一方から抽出された前記特徴点のうちの少なくとも一つの特徴点についての前記補正移動ベクトルに、前記車両(10)の進行方向に接近する方向の移動成分が含まれる場合に、前記物体は前記車両に接近する移動物体であると判定するステップと、
を含むことを特徴とする接近物体検知方法。 Sequentially acquiring images taken around the vehicle (10) by the imaging unit (2) mounted on the vehicle (10);
Extracting feature points from the two images acquired by the imaging unit (2) at different times;
Among the feature points extracted from the two images, two feature points related to the same object are associated with each other, and a difference in position on the image between the associated feature points is obtained. Obtaining an observed movement vector representing the amount and direction of movement above;
For each of the feature points extracted from one of the two images, the object on the image is caused by the movement of the imaging unit (2) between the respective acquisition times of the two images. Calculating a minimum value of an apparent movement vector representing a movement amount and a movement direction;
For each of the feature points extracted from one of the two images, calculating a corrected movement vector by subtracting the minimum value of the apparent movement vector from the observed movement vector;
When the corrected movement vector for at least one of the feature points extracted from one of the two images includes a movement component in a direction approaching the traveling direction of the vehicle (10). And determining that the object is a moving object approaching the vehicle;
An approaching object detection method comprising:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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JP2011064048A JP5539250B2 (en) | 2011-03-23 | 2011-03-23 | Approaching object detection device and approaching object detection method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
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JP2011064048A JP5539250B2 (en) | 2011-03-23 | 2011-03-23 | Approaching object detection device and approaching object detection method |
Publications (3)
Publication Number | Publication Date |
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JP2012198857A JP2012198857A (en) | 2012-10-18 |
JP2012198857A5 true JP2012198857A5 (en) | 2013-06-20 |
JP5539250B2 JP5539250B2 (en) | 2014-07-02 |
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JP2011064048A Active JP5539250B2 (en) | 2011-03-23 | 2011-03-23 | Approaching object detection device and approaching object detection method |
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Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6221283B2 (en) * | 2013-03-19 | 2017-11-01 | 富士通株式会社 | Image processing apparatus, image processing method, and image processing program |
EP2990290B1 (en) * | 2014-09-01 | 2019-11-06 | Honda Research Institute Europe GmbH | Method and system for post-collision manoeuvre planning and vehicle equipped with such system |
JP6454554B2 (en) * | 2015-01-20 | 2019-01-16 | クラリオン株式会社 | External environment recognition device for vehicle and vehicle behavior control device using the same |
JP6699902B2 (en) | 2016-12-27 | 2020-05-27 | 株式会社東芝 | Image processing apparatus and image processing method |
JP7102800B2 (en) | 2018-03-13 | 2022-07-20 | 富士通株式会社 | Evaluation program, evaluation method and evaluation device |
JP7148390B2 (en) * | 2018-12-27 | 2022-10-05 | 株式会社デンソーテン | APPROACHING OBJECT DETECTION DEVICE AND APPROACHING OBJECT DETECTION METHOD |
KR102312932B1 (en) * | 2020-07-31 | 2021-10-14 | 한화시스템 주식회사 | Situation monitoring apparatus and situation monitoring method for 360-degree panoramic image acquisition using target handover |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
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JP3364771B2 (en) * | 1994-03-09 | 2003-01-08 | 本田技研工業株式会社 | Moving object detection device |
JP3485135B2 (en) * | 1995-09-27 | 2004-01-13 | 矢崎総業株式会社 | Rear side monitoring device for vehicles |
JP2000168442A (en) * | 1998-12-11 | 2000-06-20 | Mitsubishi Motors Corp | Backward monitoring device for vehicle |
JP3776094B2 (en) * | 2002-05-09 | 2006-05-17 | 松下電器産業株式会社 | Monitoring device, monitoring method and monitoring program |
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