JP3738949B2 - Vehicle peripheral area monitoring device - Google Patents

Vehicle peripheral area monitoring device Download PDF

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Publication number
JP3738949B2
JP3738949B2 JP19494599A JP19494599A JP3738949B2 JP 3738949 B2 JP3738949 B2 JP 3738949B2 JP 19494599 A JP19494599 A JP 19494599A JP 19494599 A JP19494599 A JP 19494599A JP 3738949 B2 JP3738949 B2 JP 3738949B2
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Prior art keywords
vehicle
image processing
area
monitoring
alarm
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JP2001023092A (en
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章宏 新
啓史 藤井
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Mitsubishi Motors Corp
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Mitsubishi Motors Corp
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Description

【0001】
【発明の属する技術分野】
本発明は車両周辺領域監視装置に係り、特に車両に設置したCCDカメラ(固体撮像素子カメラ)によって後方(後側方も含む)を撮像した画像を用いて後方及び後側方より接近する車両や障害物を検知し、運転者に警告を与える車両周辺領域監視装置に関する。
【0002】
【従来の技術】
車両走行中に隣接車線に車線変更する場合、隣接車線を自車より速い速度で走行中の車両や、又隣接車両にある障害物(停止車両や工事物等)を見落とした場合、又自車と同じ車線の後続車両が急接近したことを知らずに急ブレーキをかけた場合等、いずれの場合も事故につながるおそれがある。
このため従来よりCCDカメラを用いて後方及び後側方を撮像した画像を、画像処理して前記接近車両や障害物の画像認識を行って、運転者に警告を与えるようにした車両周辺領域監視装置が種々提案されている。
【0003】
例えば、特開平7−50769号公報(先行技術1)においては、走行車両後部よりCCDカメラ(ビデオカメラ)後方画像を撮像した場合、後方の近接物体が車両の前進走行により遠ざかるに連れ、無限遠点に集束する方向に移動する点に着目し、Δt時間間隔毎に撮像した画像の着目する一点を抽出し、前の画像と後の画像の点間を結ぶ画素移動量をオプテイカルフローとして求め、該オプテイカルフローの速度ベクトル成分を演算して静止画像との比較において接近車両の画像認識を行っている。
即ち、風景や路面上のマーク等の静止画像は自車の走行速度に対応したベクトル長さで、無限遠点に向かうが、接近車両の場合は、自車との相対速度によって前記ベクトル長さが異なり、そのベクトル長さを比較することにより車両等の接近状態の判別が可能となる。
【0004】
又特許第2701651号公報(先行技術2)においては、CCDカメラ(テレビカメラ)で撮像した後方画像の中の車両監視帯域内で、走行レーンに対応する左右対象領域を探索し、その夫々の領域(走行レーン)に位置する車像を存在候補とし、その車像が前記レーン間を左右及び中央に移動する状態を検知することにより車両等の接近状態や衝突の恐れの判別が可能となる。
【0005】
【発明が解決しようとする課題】
前記いずれの技術も監視精度の向上と衝突の危険性の回避を図るためにCCDカメラの画角を広角にして後方左側部〜中央部〜右側部までの広い領域を監視し、言い換えればCCD画素を広い範囲でスキャンして画像処理を行う必要がある。
しかしながらCCD画像の監視領域が大きくなるとその画素毎の濃淡2値化変換及び演算処理等の画像処理が煩雑となり、処理時間がかかってしまい、結果として衝突等の予測を短時間で行い得ず、実際の運用上大きな問題があった。
かかる欠点を解消するために、監視領域内を間引き処理を行って処理時間の短縮を図ることも可能であるが、このことは検出性能や検出精度が悪化する。
【0006】
本発明はかかる従来技術の欠点に鑑み、予め検出対象車の軌跡情報を収集し、検出頻度の多い領域を監視領域に設定する事で、監視領域の縮小を図り、間引き処理等の検出精度が低下する操作を行うことなく、衝突等の検知に必要な検出精度を維持しつつ処理時間の低減を図り、これにより、車両等の接近状態や衝突の恐れの判別を正確且つ速やかに行い得る車両周辺領域監視装置を提供することを目的とする。
【0007】
【課題を解決するための手段】
本発明はかかる課題を解決するため、請求項1記載の発明として、
車両に設けられ、該車両より所定の方向を撮像する撮像手段と、該撮像手段から得られた画像より監視領域を設定する監視領域設定手段と、該設定された監視領域を間引いて画像処理を行う第1の画像処理手段と、該第1の画像処理手段より監視物体の軌跡データを収集する軌跡データ収集手段と、該軌跡データ収集手段より得られた軌跡データを基に該軌跡データが存在する前記監視領域を危険予知領域として設定する危険予知領域設定手段と、前記危険予知領域において通常もしくは緻密な画像処理を行う第2の画像処理手段と、前記車両が警報すべき条件にあるか否かを判定する警報条件判定手段と、前記警報条件判定手段からの判定に基づいて警告すべき条件が成立すると前記第1の画像処理手段に代えて前記第2の画像処理手段を選択する選択手段とを備えたことを特徴とする車両周辺領域監視装置を提供する。
【0008】
また、請求項2記載の発明は請求項1にかかり、前記選択手段により前記第2の画像処理手段が選択された場合、該第2の画像処理手段からの画像処理データに基づいて警報判定を行い、警報判定された場合は警報手段を作動することを特徴とする。
【0009】
ここで警報すべき条件の基となる信号(警報条件信号)とは、方向指示器(ウインカ)信号、ハンドル角信号、ブレーキ信号、アクセル信号、ターボ信号、速度センサ、フォグランプ信号等が上げられる。
又危険予知領域は、方向指示器信号やハンドル角信号に基づく車線変更の場合は、曲がる隣接車線と対応する後側方となり、ブレーキ信号に基づく急ブレーキの場合は後正面となり、又アクセル信号、ターボ信号、速度センサに基づく急加速の場合は、前方となる。従って監視領域とは後方のみならず、後側方、左右側方、前方、前側方のうちの1又は複数の領域を指す。
【0010】
尚、方向指示器(ウインカ)信号を車両衝突防止装置の検出信号として用いる技術は特許第2641562号公報に開示されているが、かかる技術は単に後続車検出手段とのアンドをとって警報の有無を判定するもので、監視領域の絞りを行うものではなく、本発明と異なる技術である。
【0011】
【発明の実施の形態】
以下、本発明を図に示した実施例を用いて詳細に説明する。但し、この実施例に記載される構成部品の寸法、形状、その相対配置などは特に特定的な記載がない限り、この発明の範囲をそれのみに限定する趣旨ではなく単なる説明例に過ぎない。
図1は本発明の実施形態に係る車両周辺領域監視装置のブロック図、図2はそのフローチャート図である。尚、本実施形態においては、方向指示器信号を警報条件信号とし、車線変更の場合の後続車両との衝突防止を目的とする監視装置である。
図1及び図2において、1はCCDカメラ(電荷結合素子カメラ)で画角を広角にし、車内より車両後方及び隣接車線の後側方までを撮像する。これは(S1)における画像入力部に相当する。
【0012】
前記CCDカメラ1で撮像された後方画像はアナログデータであるために、AD変換器2によりデジタル階調画像に変換した後、該デジタル階調画像を2値化変換回路3内の濃淡レベル変換手段により所定長以下の黒レベルを抽出した後、浮動2値化手段により浮動2値化されて2値化画像データに変換した後、ビデオメモリ4にデータ展開する。
【0013】
警報条件判定部(警報条件判定手段)5において、警報条件が成立していない場合は(S2)(例えば方向指示器オンが警報条件成立とした場合に方向指示器オフの状態を指す。領域選択回路6に広領域選択信号を送信することにより、前記ビデオメモリ5に展開された画像の不要部分のマスキングを行うことにより、例えば隣接車線域における後続車両が検知可能な広い範囲の監視領域60を設定する(S3)。
この場合、前記マスキングは任意に設定できるが、本実施形態の場合は、車線変更の場合の後方監視であるために、自車の後方背面側の自車走行レーンと対応する部分のみをマスキングし、左右の隣接車線域及びその外側のガードレールと対応する部分まで監視領域に入れる。
【0014】
又、走行レーンがはっきりしない道路や雪道などの白線がない道路においてもマスキング範囲を限定してファージな部分まで含めて広く監視領域を設定すればよい。
このように監視領域を広い領域に設定することにより、前記走行レーンがはっきりしない道路や雪道のみならず、撮像道路が曲がりカーブの場合でも隣接車線域全体を捕らえることが出来る。
【0015】
次に前記監視領域を間引き処理回路7にて間引き処理をしながら(S4)、演算回路8にてオプテイカルフローデータの演算と収集を行う (S5) 。このオプテイカルフローデータの演算と収集は、前記先行技術1にもその一の例示が記載されており、その詳細な説明は省略する。
そして前記フローデータを基に後続車両や障害物等の監視物体の軌跡をデータとして軌跡メモリ9に記録しておく (S6) 。
【0016】
本第一のルーチンの場合、監視領域の間引き処理を行っているが、このルーチンは瞬時の判定用データではなく、ロングタームの軌跡収集用のデータ収集であるために、間引き処理後の画素データで十分である。
【0017】
一方、車線変更する場合のように警報条件が成立(例えば方向指示器才ン)した場合は(S11)第二のルーチンに移行し、前記警報条件が成立していない場合に記録しておいた後続車両等の監視物体の軌跡データを絞り領域設定回路11に取り込み、該設定回路11において、静止画像との比較において軌跡データ(接近車両)の画像認識を行い、マスキング処理にて、該軌跡データの存在する領域に監視領域を絞る(S12)。
これにより警報すべき物体が最も多く現れる領域、即ち接近車両等により衝突等の事故の発生する可能性の高い領域に監視領域を絞る事が出来る。
【0018】
そして前記絞った領域の画累データを警報判定部12に取り込み、前記第一のルーチンのような間引き処理を行うことなく、そのまま警報判定部12で通常の画像処理にて警報判定を行う(S13)。
そして該判定部12で警報信号有りつまり警報表示要と判定された場合は、警報表示出力部13で所定の警報出力を行う(S14)。
【0019】
【発明の効果】
以上記載のごとく本発明によれば、監視すべき物体が現れる確率が多い領域を集中して監視することで、余分な領域を監視する分の処理時間の低減を図ることが出来るとともに、監視領域内は間引く事がないために、精度向上検出性能の向上が図れる。
又前記先行例2に示すように、走行レーンを認識して監視領域を設定するような監視領域設定方法に比べて、走行レーンがはっきりしない道路や雪道などの白線がない道路においても有効に監視領域の設定が可能となる。
【図面の簡単な説明】
【図1】 本発明の実施形態に係る車両周辺領域監視装置のブロック図である。
【図2】 図1の動作手順を示すフローチャート図である。
【符号の説明】
1 CCDカメラ(電荷結合素子カメラ)
3 2値化変換回路
4 ビデオメモリ
5 警報条件判定部
6 領域選択回路
7 間引き処理回路
9 軌跡メモリ
11 絞り領域設定回路
12 警報判定部
13 警報表示出力部
[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a vehicle peripheral area monitoring device, and in particular, a vehicle approaching from the rear and rear sides using an image obtained by imaging the rear (including the rear side) by a CCD camera (solid-state imaging device camera) installed in the vehicle, The present invention relates to a vehicle surrounding area monitoring device that detects an obstacle and gives a warning to a driver.
[0002]
[Prior art]
When changing lanes to adjacent lanes while driving a vehicle, if you overlook a vehicle that is traveling at a higher speed than the host vehicle or an obstacle (such as a stopped vehicle or construction work) in the adjacent vehicle, There is a risk of accidents occurring in either case, such as when sudden braking is applied without knowing that the following vehicle in the same lane has suddenly approached.
For this reason, a vehicle peripheral area monitor has been conventionally used to perform image processing on images captured rearward and rearward using a CCD camera to recognize the approaching vehicle and obstacles and to give a warning to the driver. Various devices have been proposed.
[0003]
For example, in Japanese Patent Application Laid-Open No. 7-50769 (Prior Art 1), when a rear image of a CCD camera (video camera) is captured from the rear part of a traveling vehicle, the infinite distance increases as the rear approaching object moves away by forward traveling of the vehicle. Focusing on the point moving in the direction of focusing on the point, extracting one point of interest of the image captured at every Δt time interval, and obtaining the pixel movement amount connecting the points of the previous image and the subsequent image as an optical flow Then, the speed vector component of the optical flow is calculated, and the approaching vehicle is recognized in comparison with the still image.
That is, a still image such as a scene or a mark on the road surface has a vector length corresponding to the traveling speed of the own vehicle and heads to an infinite point, but in the case of an approaching vehicle, the vector length depends on the relative speed with respect to the own vehicle. However, it is possible to determine the approaching state of the vehicle or the like by comparing the vector lengths.
[0004]
In Japanese Patent No. 2701651 (Prior Art 2), the left and right target areas corresponding to the traveling lane are searched within the vehicle monitoring band in the rear image captured by the CCD camera (TV camera), and the respective areas are searched. A vehicle image located in (travel lane) is set as a presence candidate, and by detecting a state in which the vehicle image moves left and right and in the center between the lanes, it is possible to determine the approaching state of the vehicle and the risk of a collision.
[0005]
[Problems to be solved by the invention]
In any of the above techniques, in order to improve the monitoring accuracy and avoid the risk of collision, the CCD camera has a wide angle of view to monitor a wide area from the rear left side to the center to the right side, in other words, the CCD pixel. Must be scanned in a wide range to perform image processing.
However, when the monitoring area of the CCD image becomes large, image processing such as density binarization conversion and calculation processing for each pixel becomes complicated, and processing time is required. As a result, prediction of collision or the like cannot be performed in a short time, There was a big problem in actual operation.
In order to eliminate such a drawback, it is possible to reduce the processing time by performing a thinning process in the monitoring area, but this deteriorates the detection performance and the detection accuracy.
[0006]
In view of the shortcomings of the prior art, the present invention collects the trajectory information of the detection target vehicle in advance and sets a region with a high detection frequency as a monitoring region, thereby reducing the monitoring region and improving detection accuracy such as thinning processing. A vehicle that can reduce the processing time while maintaining the detection accuracy necessary for detecting a collision, etc. without performing a lowering operation, and thereby can determine the approaching state of the vehicle and the risk of a collision accurately and quickly. An object is to provide a peripheral area monitoring device.
[0007]
[Means for Solving the Problems]
In order to solve this problem, the present invention provides an invention according to claim 1,
An imaging unit provided in a vehicle for imaging a predetermined direction from the vehicle, a monitoring region setting unit for setting a monitoring region from an image obtained from the imaging unit, and performing image processing by thinning out the set monitoring region The first image processing means to perform, the trajectory data collection means for collecting the trajectory data of the monitored object from the first image processing means, and the trajectory data exists based on the trajectory data obtained from the trajectory data collection means. whether the a risk prediction area setting means for setting a monitoring area as a risk prediction region, and a second image processing means for performing a normal or dense image processing in the danger prediction area, said whether the vehicle is in a condition to be alert to an alarm condition determining means for determining whether the second image processing means in place of the first image processing means and the conditions to be a warning is established based on a determination from said alarm condition judging means To provide a vehicle surrounding area monitoring device characterized by comprising a selection means for-option.
[0008]
Further, the invention according to claim 2 relates to claim 1, and when the second image processing means is selected by the selection means, an alarm determination is made based on image processing data from the second image processing means. If the alarm is determined , the alarm means is activated .
[0009]
Here, a signal (alarm condition signal) that is a basis of a condition to be alarmed includes a direction indicator (blinker) signal, a steering angle signal, a brake signal, an accelerator signal, a turbo signal, a speed sensor, a fog lamp signal, and the like.
Also, the danger prediction area is the rear side corresponding to the adjacent lane to bend in the case of lane change based on the direction indicator signal or steering angle signal, the rear front in the case of sudden braking based on the brake signal, and the accelerator signal, In the case of rapid acceleration based on a turbo signal and a speed sensor, it is ahead. Therefore, the monitoring area indicates not only the rear but also one or a plurality of areas of the rear side, the left and right sides, the front, and the front side.
[0010]
Incidentally, a technology that uses a turn signal signal as a detection signal of a vehicle collision prevention device is disclosed in Japanese Patent No. 2641562. However, this technology simply takes an AND with the following vehicle detection means to check whether there is an alarm. Is a technique different from the present invention.
[0011]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, the present invention will be described in detail with reference to the embodiments shown in the drawings. However, unless otherwise specified, the dimensions, shapes, relative arrangements, and the like of the components described in this embodiment are merely illustrative examples and not intended to limit the scope of the present invention.
FIG. 1 is a block diagram of a vehicle peripheral area monitoring apparatus according to an embodiment of the present invention, and FIG. 2 is a flowchart thereof. In the present embodiment, the direction indicator signal is used as an alarm condition signal, and the monitoring device is intended to prevent a collision with the following vehicle in the case of a lane change.
1 and 2, reference numeral 1 denotes a CCD camera (charge coupled device camera) that widens the angle of view and captures images from the inside of the vehicle to the rear side of the vehicle and the rear side of the adjacent lane. This corresponds to the image input unit in (S1).
[0012]
Since the rear image picked up by the CCD camera 1 is analog data, the digital gradation image is converted into a digital gradation image by the AD converter 2, and then the gray level conversion means in the binarization conversion circuit 3 is converted into the digital gradation image. After extracting a black level having a predetermined length or less, the floating binarization means converts the black level into binary image data, which is then developed in the video memory 4.
[0013]
In the alarm condition determination unit (alarm condition determination means) 5, when the alarm condition is not satisfied (S2) (for example, when the direction indicator is turned on and the alarm condition is satisfied , the direction indicator is turned off. By transmitting a wide area selection signal to the circuit 6 and masking unnecessary portions of the image developed in the video memory 5, for example, a wide monitoring area 60 that can be detected by the following vehicle in the adjacent lane area. Set (S3).
In this case, the masking can be arbitrarily set, but in the case of the present embodiment, only the portion corresponding to the own vehicle traveling lane on the rear rear side of the own vehicle is masked because it is the rear monitoring in the case of lane change. The left and right adjacent lane areas and the portions corresponding to the guard rails on the outside are entered into the monitoring area.
[0014]
Further, even on roads where the driving lane is not clear or roads where there is no white line, such as snowy roads, the masking range may be limited and a wide monitoring area may be set including the phage portion.
In this way, by setting the monitoring area as a wide area, it is possible to capture not only the road and snow road where the travel lane is not clear, but also the entire adjacent lane area even when the imaging road is a curved curve.
[0015]
Next, while thinning out the monitoring area by the thinning processing circuit 7 (S4), the arithmetic circuit 8 calculates and collects optical flow data (S5). An example of the calculation and collection of the optical flow data is also described in the prior art 1, and a detailed description thereof will be omitted.
Based on the flow data, the trajectory of the monitoring object such as the following vehicle or the obstacle is recorded as data in the trajectory memory 9 (S6).
[0016]
In the case of the first routine, the monitoring area is thinned out. However, since this routine is not instantaneous determination data but data collection for long-term trajectory collection, pixel data after thinning processing is performed. Is enough.
[0017]
On the other hand, when the warning condition is satisfied (for example, turn signal indicator) as in the case of changing lanes (S11), the process proceeds to the second routine, and is recorded when the warning condition is not satisfied. The trajectory data of the monitored object such as the following vehicle is taken into the aperture region setting circuit 11, and the setting circuit 11 performs image recognition of the trajectory data (approaching vehicle) in comparison with the still image, and performs the masking process to detect the trajectory data. The monitoring area is narrowed down to the area where the error exists (S12).
As a result, the monitoring area can be narrowed down to an area where the most objects to be alarmed appear, that is, an area where an accident such as a collision is likely to occur due to an approaching vehicle or the like.
[0018]
Then, the image accumulation data of the narrowed area is taken into the alarm determination unit 12, and the alarm determination unit 12 performs the alarm determination by normal image processing without performing the thinning process as in the first routine (S13). ).
If the determination unit 12 determines that an alarm signal is present, that is, an alarm display is required , the alarm display output unit 13 outputs a predetermined alarm (S14).
[0019]
【The invention's effect】
As described above, according to the present invention, it is possible to reduce the processing time for monitoring the extra area by concentrating and monitoring the area where the probability that the object to be monitored appears is high. Since the inside is not thinned out, the accuracy detection performance can be improved.
Also, as shown in the preceding example 2, compared to a monitoring area setting method in which a driving lane is recognized and a monitoring area is set, it is effective even on roads where the driving lane is not clear or roads without white lines such as snowy roads. The monitoring area can be set.
[Brief description of the drawings]
FIG. 1 is a block diagram of a vehicle surrounding area monitoring apparatus according to an embodiment of the present invention.
FIG. 2 is a flowchart showing the operation procedure of FIG. 1;
[Explanation of symbols]
1 CCD camera (charge-coupled device camera)
3 Binarization conversion circuit 4 Video memory 5 Alarm condition determination unit 6 Area selection circuit 7 Thinning-out processing circuit 9 Trajectory memory 11 Aperture area setting circuit 12 Alarm determination unit 13 Alarm display output unit

Claims (2)

車両に設けられ、該車両より所定の方向を撮像する撮像手段と、
該撮像手段から得られた画像より監視領域を設定する監視領域設定手段と、
該設定された監視領域を間引いて画像処理を行う第1の画像処理手段と、
該第1の画像処理手段より監視物体の軌跡データを収集する軌跡データ収集手段と、
該軌跡データ収集手段より得られた軌跡データを基に該軌跡データが存在する前記監視領域を危険予知領域として設定する危険予知領域設定手段と、
前記危険予知領域において通常もしくは緻密な画像処理を行う第2の画像処理手段と、
前記車両が警報すべき条件にあるか否かを判定する警報条件判定手段と、
前記警報条件判定手段からの判定に基づいて警告すべき条件が成立すると前記第1の画像処理手段に代えて前記第2の画像処理手段を選択する選択手段とを備えたことを特徴とする車両周辺領域監視装置。
An imaging means provided in the vehicle and imaging a predetermined direction from the vehicle;
Monitoring area setting means for setting a monitoring area from an image obtained from the imaging means;
First image processing means for performing image processing by thinning out the set monitoring area;
Trajectory data collection means for collecting trajectory data of the monitored object from the first image processing means;
Danger prediction area setting means for setting the monitoring area where the locus data exists based on the locus data obtained from the locus data collection means as a danger prediction area;
A second image processing means for performing normal or precise image processing in the danger prediction area ;
Alarm condition determining means for determining whether or not the vehicle is in a condition to be alarmed;
A vehicle comprising: selection means for selecting the second image processing means instead of the first image processing means when a condition to be warned is established based on the determination from the warning condition determination means Perimeter monitoring device.
前記選択手段により前記第2の画像処理手段が選択された場合、該第2の画像処理手段からの画像処理データに基づいて警報判定を行い、警報判定された場合は警報手段を作動することを特徴とする請求項1記載の車両周辺領域監視装置。When the second image processing means is selected by the selection means, an alarm is determined based on the image processing data from the second image processing means, and when the alarm is determined, the alarm means is activated. The vehicle surrounding area monitoring apparatus according to claim 1, wherein
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