JP2001014595A - Device for detecting traffic lane for vehicle - Google Patents

Device for detecting traffic lane for vehicle

Info

Publication number
JP2001014595A
JP2001014595A JP11183841A JP18384199A JP2001014595A JP 2001014595 A JP2001014595 A JP 2001014595A JP 11183841 A JP11183841 A JP 11183841A JP 18384199 A JP18384199 A JP 18384199A JP 2001014595 A JP2001014595 A JP 2001014595A
Authority
JP
Japan
Prior art keywords
white line
line candidate
vehicle
white
candidate points
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP11183841A
Other languages
Japanese (ja)
Inventor
Kyoichi Abe
恭一 阿部
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Motors Corp
Original Assignee
Mitsubishi Motors Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitsubishi Motors Corp filed Critical Mitsubishi Motors Corp
Priority to JP11183841A priority Critical patent/JP2001014595A/en
Publication of JP2001014595A publication Critical patent/JP2001014595A/en
Pending legal-status Critical Current

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  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Traffic Control Systems (AREA)

Abstract

PROBLEM TO BE SOLVED: To prevent the erroneous recognition of a traffic lane when driving a vehicle by detecting the type of a white line with high accuracy. SOLUTION: This traffic lane detecting device for a vehicle picks up the image of a travel road situation with an imaging means installed on the front part of a vehicle and detects the type of the white line of the travel road on the basis of an image obtained by the imaging means. In such a case, the device is provided with a white line candidate point detecting part 23 which processes the image picked up by the imaging means and detects white line candidate points, a white line candidate point selecting part 24 which selects only a white line candidate point recognized as a white line among the white line candidate points and calculates the detection rate of white line candidate points from the selected white line candidate points, a white line candidate data storing part 25 which stores the detection rate of the white line candidate points for a fixed quantity in the past and a white line discriminating part 26 which discriminates the type of a white line on the basis of the stored detection rate of the white line candidate points.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は、自動車等の車両が
走行する走行レーンにおける白線の種類を検知する走行
レーン検知装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a traveling lane detecting device for detecting the type of white line in a traveling lane on which a vehicle such as an automobile travels.

【0002】[0002]

【従来の技術】自車の走行路において、自動車が走行し
ている走行レーンを認識することは事故防止の面からき
わめて重要である。かかる走行レーンを白線の種類を検
知することにより認識する技術として特開平8−320
997号の発明が提供されている。
2. Description of the Related Art It is very important to recognize a traveling lane on which a vehicle is traveling on a traveling path of the vehicle from the viewpoint of accident prevention. JP-A-8-320 discloses a technique for recognizing such a driving lane by detecting the type of white line.
No. 997 is provided.

【0003】かかる発明においては、撮像手段によって
撮像された自車両前方の走行画像データに基づいて、各
ウィンドウのエッジ点数計数値の最大値が周期性を有し
て変化しているか、あるいは定常的に一定値かを判定
し、周期的に変化している場合には、白線を破線レーン
マーカであると認識し、定常的に一定値の場合は実線レ
ーンマーカと認識する。このレーンマーカ認識結果によ
り、自車両の走行車線と隣接部との区分を認識し、自車
線が左端の走行車線であるか、中央部の追い越し車線で
あるか、右端の追い越し車線であるか等を認識する。
In this invention, the maximum value of the edge point count value of each window is changed periodically or constantly based on the traveling image data in front of the own vehicle imaged by the imaging means. Is determined to be a constant value, and if it changes periodically, the white line is recognized as a dashed lane marker, and if the value is constantly constant, it is recognized as a solid lane marker. Based on the lane marker recognition result, the classification of the traveling lane of the own vehicle and the adjacent part is recognized, and whether the own lane is the traveling lane at the left end, the overtaking lane at the center, the overtaking lane at the right end, and the like. recognize.

【0004】そしてかかる発明によれば、自車両の直前
部分に相当する画像の下端部にウィンドウを設定するの
で、レーンマーカが略直線として検出可能であり先行車
両等によって遮蔽される可能性はない。
According to this invention, since the window is set at the lower end of the image corresponding to the part immediately before the host vehicle, the lane marker can be detected as a substantially straight line, and there is no possibility that the lane marker is blocked by a preceding vehicle or the like.

【0005】[0005]

【発明が解決しようとする課題】特開平8−32099
7号の発明においては、走行路画像に現れるエッジ点数
計数値の最大値が周期的に変化しているときは白線を破
線、定常的に一定のときは白線を実線と判定している
が、エッジ点数計数値の出方によって一義的に白線を破
線と実線とに判別しているため、白線の種類の認識精度
が低く、殊に破線の場合には、白線の長さ及びピッチが
検知できないため、高速道路の破線であるか一般道路の
破線であるかは判別できず、走行時に白線の種類の誤認
識による走行レーンの誤認識が発生しやすい。
Problems to be Solved by the Invention
In the invention of No. 7, the white line is determined to be a dashed line when the maximum value of the edge point count value appearing in the traveling road image changes periodically, and the white line is determined to be a solid line when constantly constant, Since the white line is uniquely determined to be a broken line and a solid line depending on the appearance of the edge point count value, the recognition accuracy of the type of the white line is low. In particular, in the case of the broken line, the length and pitch of the white line cannot be detected. For this reason, it cannot be determined whether the dashed line is a dashed line on an expressway or a dashed line on a general road, and erroneous recognition of the traveling lane due to erroneous recognition of the type of white line during traveling is likely to occur.

【0006】本発明は、かかる従来技術の課題に鑑み、
白線の検出範囲が短いにも関わらず白線の種類を高い精
度で検知可能とし、走行時における走行レーンの誤認識
を防止することを目的とする。
The present invention has been made in view of the problems of the prior art,
An object of the present invention is to make it possible to detect the type of a white line with high accuracy in spite of a short detection range of the white line, and to prevent erroneous recognition of a traveling lane during traveling.

【0007】[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記載の発明では、車両の前部に設
置された撮像手段により走行路の状態を撮像し、前記撮
像手段から得られた画像に基づき前記走行路の白線の種
類を検知するようにした車両用走行レーン検知装置であ
って、前記撮像された画像を処理して白線候補点を検出
する白線候補点検出部と、前記白線候補点のうち白線と
認識された白線候補点のみを選択し、その選択された白
線候補点から白線候補点の検出率データ保持部と、前記
保存された白線候補点の検出率を過去一定量保存する白
線候補データ保持部と、前記保存された白線候補点の検
出率に基づいて白線の種類を判別する白線種類判別部と
を備えたものである。
According to the present invention, in order to solve the above-mentioned problems, according to the first aspect of the present invention, a state of a traveling road is imaged by an image pickup means provided at a front portion of a vehicle, and the state of the traveling road is picked up by the image pickup means. A vehicle lane detecting device for detecting the type of a white line on the traveling road based on the obtained image, wherein the white line candidate point detecting unit detects the white line candidate point by processing the captured image. From the white line candidate points, only the white line candidate points recognized as white lines are selected, the white line candidate point detection rate data holding unit from the selected white line candidate points, and the stored white line candidate point detection rates are stored. The system includes a white line candidate data holding unit that stores a predetermined amount of past white lines, and a white line type determination unit that determines the type of white line based on the stored white line candidate point detection rate.

【0008】また請求項2記載の発明は、前記白線種類
判別部は、前記白線候補データ保持部に保存された検出
率の平均値が所定の基準値以上のときには白線を実線と
判定し、前記平均値が前記基準値未満であって前記各デ
ータの検出率が前記基準値の上側判定値よりも大きい領
域及び所定の下側判定値よりも小さい領域にそれぞれ存
在するときには白線を破線と判定するように構成されて
なる。
According to a second aspect of the present invention, the white line type determination unit determines the white line as a solid line when the average value of the detection rates stored in the white line candidate data holding unit is equal to or larger than a predetermined reference value. When the average value is less than the reference value and the detection rates of the respective data are present in an area larger than the upper determination value of the reference value and an area smaller than a predetermined lower determination value, the white line is determined as a broken line. It is constituted as follows.

【0009】かかる発明によれば、白線候補データ保持
部に保存された検出率の平均値が所定の基準値以上、つ
まり概ね70%以上のときは白線は実線であると判定
し、また該平均値が前記基準値(70%)未満であっ
て、個々の検出率のピークが上側の一定ライン(上側判
定値)よりも突出し、かつボトムが下側の一定ライン
(下側判定値)よりも下側に突出しているような検出率
の形態のときには、白線は破線であると判定する。
According to this invention, when the average value of the detection rates stored in the white line candidate data holding unit is equal to or more than a predetermined reference value, that is, approximately 70% or more, the white line is determined to be a solid line. The value is less than the reference value (70%), the peak of each detection rate protrudes from the upper fixed line (upper judgment value), and the bottom is lower than the lower fixed line (lower judgment value). In the case of the detection rate form protruding downward, it is determined that the white line is a broken line.

【0010】従って、かかる発明によれば、白線候補点
の検出率を過去一定量保存し、それらの検出率の平均
値、最大値、最小値を求めて基準値と比較することによ
り、走行レーンが実線であるか破線であるかを判定する
ので、白線検出率データを少量保存するのみで実線と破
線とを高精度で判別することができる。
Therefore, according to the present invention, the detection rates of the white line candidate points are stored in a fixed amount in the past, and the average, maximum, and minimum values of the detection rates are obtained and compared with the reference value, whereby the traveling lane is detected. Is determined as a solid line or a broken line, the solid line and the broken line can be distinguished with high accuracy only by storing a small amount of white line detection rate data.

【0011】さらに請求項3記載の発明は、請求項2に
加えて、前記白線種類判別部は、前記白線を破線と判定
した後、前記白線候補データ保持部に保存された検出率
のピーク間距離を算出し、この距離から走行レーンの種
類を検知可能に構成されてなる。
According to a third aspect of the present invention, in addition to the second aspect, the white line type discriminating unit judges the white line as a broken line, and then determines the peak of the detection rate stored in the white line candidate data holding unit. The distance is calculated, and the type of the traveling lane can be detected from the distance.

【0012】かかる発明によれば、白線が破線であると
判定した後においても、個々の検出率をつないだ曲線の
ピーク間距離を算出し、この距離を高速道路あるいは一
般道路の白線と対応させることにより、ドライバーは現
在の走行車線が高速道路であるか一般道路であるかを正
しく認識することができる。
According to this invention, even after it is determined that the white line is a broken line, the peak-to-peak distance of the curve connecting the individual detection rates is calculated, and this distance is made to correspond to the white line of an expressway or a general road. Thus, the driver can correctly recognize whether the current driving lane is a highway or a general road.

【0013】[0013]

【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、材質、形状、その相対配置などは特
に特定的な記載が無い限り、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。
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below in detail with reference to an embodiment shown in the drawings. However, the dimensions, materials, shapes, relative arrangements, and the like of the components described in this embodiment are not merely intended to limit the scope of the present invention, but are merely illustrative examples unless otherwise specified. Absent.

【0014】図1は本発明の実施形態にかかる自動車走
行レーン検知装置の制御ブロック図、図2は制御フロー
チャート、図3は全体構成図、図4は白線種類の判別線
図、図5は破線種類の判別線図、図6は破線種類の説明
図である。
FIG. 1 is a control block diagram of an automobile driving lane detecting apparatus according to an embodiment of the present invention, FIG. 2 is a control flowchart, FIG. 3 is an overall configuration diagram, FIG. 4 is a white line type discrimination diagram, and FIG. FIG. 6 is an explanatory diagram of the type of broken line.

【0015】自動車走行レーン検知装置の全体構成を示
す図3において、10は自動車(以下車という)、1は
該車10の前方に取付けられたビデオカメラ(撮像手
段)、2はコントローラ、3は車10の車速を検出する
車速検出器であり、該コントローラ2及び車速検出器3
は車10に搭載されている。
In FIG. 3, which shows the entire configuration of the vehicle traveling lane detecting device, 10 is a vehicle (hereinafter referred to as a vehicle), 1 is a video camera (imaging means) mounted in front of the vehicle 10, 2 is a controller, and 3 is a controller. The controller 2 and the vehicle speed detector 3 detect a vehicle speed of the vehicle 10.
Is mounted on the car 10.

【0016】図1〜図2において、前記ビデオカメラ1
にて撮像された車10の前方の画像はコントローラ2の
増幅器21に入力され、所定の大きさに増幅され、A/
D変換部22にてデジタル化された後白線候補点検出部
23に入力される(ステップ(1))。
In FIG. 1 and FIG.
The image in front of the car 10 taken at is input to the amplifier 21 of the controller 2 and is amplified to a predetermined size.
After being digitized by the D conversion unit 22, it is input to the white line candidate point detection unit 23 (step (1)).

【0017】該白線候補点検出部23においては、入力
された画像を処理しノイズを除き白線候補点なるデータ
を検出する。(ステップ(2))。この白線候補点検出
データは白線候補点選択部24に入力される。
The white line candidate point detecting section 23 processes the input image and detects data as white line candidate points by removing noise. (Step (2)). The white line candidate point detection data is input to the white line candidate point selection unit 24.

【0018】白線候補点選択部24においては、白線候
補点検出データをもとに白線の検出率を算出する。検出
率:fは次の(1)式による。 f=(検出できた点の数/検出範囲のライン数)×100(%) (1) そして、この検出率データを白線候補データ保持部25
に入力する(ステップ(3))。
The white line candidate point selection unit 24 calculates a white line detection rate based on the white line candidate point detection data. The detection rate: f is given by the following equation (1). f = (number of detected points / number of lines in detection range) × 100 (%) (1) Then, the detection rate data is stored in the white line candidate data holding unit 25.
(Step (3)).

【0019】白線候補データ保持部25においては、処
理時間(例えば0.1秒)と、車速検出器3から入力さ
れる車10の車速検出データ(処理時間毎の車速)よ
り、各サイクル毎の距離:Lを次の(2)式により算出
し、このLを過去一定量(例えば、過去20個分)保存
する。 L=(車速)×(処理時間=2秒) (2)
In the white line candidate data holding section 25, the processing time (for example, 0.1 second) and the vehicle speed detection data (vehicle speed for each processing time) of the vehicle 10 inputted from the vehicle speed detector 3 are used for each cycle. Distance: L is calculated by the following equation (2), and this L is stored in a fixed amount in the past (for example, for the past 20). L = (vehicle speed) × (processing time = 2 seconds) (2)

【0020】そして、該白線候補データ保持部25にお
いては、同時に左右別々の白線候補点の検出率を過去一
定量保存する(ステップ(4))。
Then, the white line candidate data holding unit 25 simultaneously stores the detection rates of the left and right white line candidate points by a fixed amount in the past (step (4)).

【0021】白線種類判別部26は、前記白線候補デー
タ保持部25にストックされた白線の検出率fから平均
値fを算出する。そして該白線種類判別部26は前記
平均値:fが基準値f未満で、かつ各データの検出
率fが上側判定値f01よりも大きい領域及び下側判定
値f02よりも小さい領域に存在するとき、白線は破線
であると判定する(ステップ(5))。
The white line type determination unit 26 calculates the average value f m from detection rate f of the stocked in the white line candidate data holding unit 25 white line. Then the white line type determination unit 26 is the average value: f m is less than the reference value f 0, and smaller than the larger area and a lower determination value f 02 than the detection rate f the upper determination value f 01 of each data area , It is determined that the white line is a broken line (step (5)).

【0022】即ち図4の(A)に示すように、ストック
された検出率fの平均値fが基準値f=70%以上
(必ずしも70%に限定する必要はなく、過去の検出率
データにより定める)のとき、白線種類判別部26にお
いては、白線は実線であると判定する。また、図4の
(B)に示すように、ストックされた検出率fの平均値
が基準値f=70%未満であって、各データの検
出率fが上側判定値であるf01=80%以上の領域に
も下側判定値であるf02=20%以下の領域にも存在
するとき、白線は破線であると判定する。
[0022] That is, as shown in FIG. 4 (A), the average value f m of stocked detection rate f is the reference value f 0 = 70% or more (not necessarily limited to 70%, past detection rate (Determined by data), the white line type determination unit 26 determines that the white line is a solid line. Further, as shown in FIG. 4 (B), an average value f m is the reference value f 0 = less than 70% of the stocked detection rate f, f detection rate f of the data is the upper determination value When there is an area in which 01 = 80% or more and an area in which the lower determination value f 02 = 20% or less exists, it is determined that the white line is a broken line.

【0023】従って、白線種類判別部26は白線検出率
の過去一定量の平均値及び最大値、最小値を求めて、該
検出率の平均値及び最大値、最小値を基準値と比較する
ことにより走行レーンの白線が実線であるか破線である
かを判定するので、白線検出データの保存個数が少なく
ても、実線と破線とを正しく判別することができる。
Accordingly, the white line type discriminating section 26 obtains the average, maximum and minimum values of the past fixed amount of the white line detection rate, and compares the average, maximum and minimum values of the detection rate with the reference value. It is determined whether the white line of the traveling lane is a solid line or a broken line, so that the solid line and the broken line can be correctly determined even if the number of stored white line detection data is small.

【0024】即ち、前記のようにして白線が実線である
かを判別することにより、左側が実線で右側が破線のと
きには、自車が左車線を走行中、左右ともに破線のとき
には中央車線を走行中、左側が破線、右側が実線のとき
は右車線を走行中というように、ビデオカメラ1の撮像
画像により自車の走行レーンを容易に認識できる。
That is, by determining whether the white line is a solid line as described above, when the left side is a solid line and the right side is a broken line, the vehicle is traveling in the left lane. When the middle and left sides are broken lines and the right side is solid lines, the traveling lane of the own vehicle can be easily recognized from the image captured by the video camera 1 such that the vehicle is traveling in the right lane.

【0025】さらに前記白線種類判別部26において
は、前記白線が破線と判定された場合には、ストック個
数(20個)の白線の検出率fをつないだ曲線のピーク
間の距離Lを、前記(2)式で算出して白線候補デー
タ保持部25にストックされている距離Lに基づき算出
し、この距離Lが20mであれば図6の(A)に示す
ような高速道路の破線と判定し、Lが15mであれば
一般道路の破線と判定する。
Furthermore in the white line type determining unit 26, when the white line is determined to be a broken line, the distance L 0 between the peaks of the connected curve detection rate f of the white line stock number (20), wherein (2) calculated calculated based on the distance L, which is stocked in the white line candidate data holding unit 25 by the formula, broken lines of the highway, as shown in FIG. 6 (a) if the distance L 0 is 20m determined that, L 0 is judged to dashed ordinary road if 15 m.

【0026】即ち、図5に示すように、ストック個数2
0個の個々の検出率fをつないだ曲線のピーク間の距離
は画像及び前記(2)式で算出した処理時間に対応
する距離Lから算出できる。そしてこのピークが現れる
ピッチ(つまりピーク間の距離)は図6に示すような破
線の白線のピッチLと同一になるから、算出された前
記破線の画像のピーク間距離Lによって、これが20
mであれば高速道路15mであれば一般道路であると判
定できる。
That is, as shown in FIG.
The distance L 0 between 0 peaks individual tethered detection rate f curve can be calculated from the distance L corresponding to the processing time calculated by the image and the (2) equation. And since pitch this peak appears (i.e. the distance between the peaks) is equal to the pitch L 0 dashed white lines as shown in FIG. 6, the distance between peaks L 0 of said calculated dashed image, which is 20
m, it can be determined that the road is a general road if it is 15 m.

【0027】従って、かかる実施形態によれば、白線種
類判別部26においては、白線を前記のようにして実線
あるいは破線に判別した後、さらに破線について、検出
率のピーク間距離を算出し、この距離によって白線が高
速道路あるいは一般道路であるかを判定するので、現在
の走行レーンが高速道路であるか一般道路であるかを容
易に認識することができる。
Therefore, according to this embodiment, the white line type determination section 26 determines the white line as a solid line or a broken line as described above, and further calculates the peak-to-peak distance of the detection rate for the broken line. Since it is determined whether the white line is an expressway or a general road based on the distance, it is possible to easily recognize whether the current traveling lane is an expressway or a general road.

【0028】[0028]

【発明の効果】以上記載のごとく本発明によれば、撮像
された画像を処理して白線候補点を検出する白線候補点
検出部と、前記白線候補点のうち白線と認識された白線
候補点のみを選択し、その選択された白線候補点から白
線候補点の検出率を算出する白線候補点選択部と、前記
白線候補点の検出率を過去一定量保存する白線候補デー
タ保持部と、前記保存された白線候補点の検出率に基づ
いて白線の種類を判別することができるので、白線の検
出範囲が短いにも関わらず白線の種類を高い精度で検知
可能とし、走行時における走行レーンの誤認識を防止で
きるようにしたものである。
As described above, according to the present invention, a white line candidate point detecting section for processing a captured image to detect white line candidate points, and a white line candidate point recognized as a white line among the white line candidate points A white line candidate point selection unit that selects only the white line candidate points from the selected white line candidate points, and a white line candidate data holding unit that stores the white line candidate point detection ratio in a past fixed amount. Since the type of the white line can be determined based on the stored detection rate of the white line candidate points, the type of the white line can be detected with high accuracy despite the short detection range of the white line. This is to prevent erroneous recognition.

【0029】また、請求項2の発明によれば、白線候補
点の検出率を過去一定量保存し、それらの検出率の平均
値、最大値、最小値を求めて基準値と比較することによ
り、走行レーンが実線であるかを判定するので、白線検
出率データを少量保存するのみで実線と破線とを高精度
で判別することができる。
According to the second aspect of the present invention, the detection rates of the white line candidate points are stored in a fixed amount in the past, and the average value, the maximum value, and the minimum value of the detection rates are obtained and compared with the reference value. Since it is determined whether the traveling lane is a solid line, the solid line and the broken line can be distinguished with high accuracy only by storing a small amount of white line detection rate data.

【0030】また、請求項3の発明によれば、白線が破
線であると判定した後においても、個々の検出率をつな
いだ曲線のピーク間距離を算出し、この距離を高速道
路、あるいは一般道路の白線と対応させることにより、
ドライバーは現在の走行車線が高速道路であるか一般道
路であるかを正しく認識することができる。
According to the third aspect of the present invention, even after it is determined that the white line is a broken line, the peak-to-peak distance of the curve connecting the individual detection rates is calculated, and this distance is calculated on an expressway or a general road. By corresponding to the white line of the road,
The driver can correctly recognize whether the current lane is a highway or a general road.

【図面の簡単な説明】[Brief description of the drawings]

【図1】 本発明の実施形態に係る自動車走行レーン検
知装置の制御ブロック図である。
FIG. 1 is a control block diagram of an automobile driving lane detecting device according to an embodiment of the present invention.

【図2】 上記実施形態における制御フローチャートで
ある。
FIG. 2 is a control flowchart in the embodiment.

【図3】 上記実施形態における全体構成図である。FIG. 3 is an overall configuration diagram in the embodiment.

【図4】 上記実施形態における白線種類の判別線図で
ある。
FIG. 4 is a diagram for discriminating white line types in the embodiment.

【図5】 上記実施形態における破線種類の判別線図で
ある。
FIG. 5 is a determination diagram of a broken line type in the embodiment.

【図6】 走行レーンにおける破線種類の説明図であ
る。
FIG. 6 is an explanatory diagram of broken line types in a traveling lane.

【符号の説明】[Explanation of symbols]

1 ビデオカメラ 2 コントローラ 23 白線候補点検出部 24 白線候補点選択部 25 白線候補データ保持部 26 白線種類判別部 3 車速検出器 10 車 DESCRIPTION OF SYMBOLS 1 Video camera 2 Controller 23 White line candidate point detection part 24 White line candidate point selection part 25 White line candidate data holding part 26 White line type discrimination part 3 Vehicle speed detector 10 vehicles

Claims (3)

【特許請求の範囲】[Claims] 【請求項1】 車両の前部に設置された撮像手段により
走行路の状態を撮像し、前記撮像手段から得られた画像
に基づき前記走行路の白線の種類を検知するようにした
車両用走行レーン検知装置において、 前記撮像手段から撮像された画像を処理して白線候補点
を検出する白線候補点検出部と、前記白線候補点のうち
白線と認識された白線候補点のみを選択し、その選択さ
れた白線候補点から白線候補点の検出率を算出する白線
候補点選択部と、前記白線候補点の検出率を過去一定量
保存する白線候補データ保持部と、前記保存された白線
候補点の検出率に基づいて白線の種類を判別する白線種
類判別部とを備えたことを特徴とする車両用走行レーン
検知装置。
1. A vehicle traveling system in which a state of a traveling road is imaged by an imaging unit installed at a front part of a vehicle, and a type of a white line on the traveling road is detected based on an image obtained from the imaging unit. In the lane detection device, a white line candidate point detection unit that processes an image captured from the imaging unit to detect a white line candidate point, and selects only white line candidate points recognized as white lines among the white line candidate points, A white line candidate point selecting unit for calculating a detection rate of white line candidate points from the selected white line candidate points; a white line candidate data holding unit for storing the white line candidate point detection ratio in a past fixed amount; and the stored white line candidate points And a white line type determination unit that determines the type of white line based on the detection rate of the vehicle.
【請求項2】 前記白線種類判別部は、前記白線候補点
データ保持部に保存された検出率の平均値が所定の基準
値以上のときには白線を実線と判定し、前記平均値が前
記基準値未満であって前記各データの検出率が前記基準
値の上側判定値よりも大きい領域及び所定の下側判定値
よりも小さい領域にそれぞれ存在するときには白線を破
線と判定するように構成されてなる請求項1記載の車両
用走行レーン検知装置。
2. The white line type determination unit determines that the white line is a solid line when the average value of the detection rates stored in the white line candidate point data holding unit is equal to or greater than a predetermined reference value, and the average value is equal to the reference value. The white line is determined to be a dashed line when the detection rate of each data is less than the upper determination value of the reference value and in the area smaller than the predetermined lower determination value. The vehicle traveling lane detecting device according to claim 1.
【請求項3】 前記白線種類判別部は、前記白線を破線
と判定した後、前記白線候補点データ保持部に保存され
た検出率のピーク間距離を算出し、この距離から走行レ
ーンの種類を検知可能に構成されてなる請求項2記載の
車両用走行レーン検知装置。
3. The white line type determination unit calculates the distance between peaks of the detection rate stored in the white line candidate point data holding unit after determining the white line as a broken line, and determines the type of the traveling lane from this distance. The traveling lane detecting device for a vehicle according to claim 2, wherein the device is configured to be capable of detecting.
JP11183841A 1999-06-29 1999-06-29 Device for detecting traffic lane for vehicle Pending JP2001014595A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP11183841A JP2001014595A (en) 1999-06-29 1999-06-29 Device for detecting traffic lane for vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP11183841A JP2001014595A (en) 1999-06-29 1999-06-29 Device for detecting traffic lane for vehicle

Publications (1)

Publication Number Publication Date
JP2001014595A true JP2001014595A (en) 2001-01-19

Family

ID=16142786

Family Applications (1)

Application Number Title Priority Date Filing Date
JP11183841A Pending JP2001014595A (en) 1999-06-29 1999-06-29 Device for detecting traffic lane for vehicle

Country Status (1)

Country Link
JP (1) JP2001014595A (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003123058A (en) * 2001-10-17 2003-04-25 Hitachi Ltd Traveling lane recognition device
EP1600909A2 (en) 2004-05-28 2005-11-30 Toyota Jidosha Kabushiki Kaisha Vehicle lane detector
JP2007200191A (en) * 2006-01-30 2007-08-09 Clarion Co Ltd Lane detection device and lane deviation warning device
US7265657B2 (en) 2004-06-02 2007-09-04 Toyota Jidosha Kabushiki Kaisha Lane boundary detector
US7403219B2 (en) 2004-05-11 2008-07-22 Toyota Jidosha Kabushiki Kaisha Driving lane recognizer and driving lane recognizing method
JP2009054173A (en) * 2008-10-06 2009-03-12 Toyota Motor Corp Device for deciding vehicle travel road
JP2009237901A (en) * 2008-03-27 2009-10-15 Zenrin Co Ltd Method of creating road marker map
JP2009251944A (en) * 2008-04-07 2009-10-29 Yazaki Corp Driving support device
JP2010211701A (en) * 2009-03-12 2010-09-24 Honda Motor Co Ltd Lane recognition device
US7808523B2 (en) 2004-06-02 2010-10-05 Toyota Jidosha Kabushiki Kaisha Lane boundary detector
JP2010244254A (en) * 2009-04-03 2010-10-28 Honda Motor Co Ltd Lane recognition device
JP2015189403A (en) * 2014-03-28 2015-11-02 マツダ株式会社 Lane keeping controller

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003123058A (en) * 2001-10-17 2003-04-25 Hitachi Ltd Traveling lane recognition device
EP1596322A3 (en) * 2004-05-11 2010-11-17 Toyota Jidosha Kabushiki Kaisha Driving lane recognizer and driving lane recognizing method
US7403219B2 (en) 2004-05-11 2008-07-22 Toyota Jidosha Kabushiki Kaisha Driving lane recognizer and driving lane recognizing method
US7307545B2 (en) 2004-05-28 2007-12-11 Toyota Jidosha Kabushiki Kaisha Vehicle lane detector
EP1600909A2 (en) 2004-05-28 2005-11-30 Toyota Jidosha Kabushiki Kaisha Vehicle lane detector
US7265657B2 (en) 2004-06-02 2007-09-04 Toyota Jidosha Kabushiki Kaisha Lane boundary detector
US7808523B2 (en) 2004-06-02 2010-10-05 Toyota Jidosha Kabushiki Kaisha Lane boundary detector
JP2007200191A (en) * 2006-01-30 2007-08-09 Clarion Co Ltd Lane detection device and lane deviation warning device
JP2009237901A (en) * 2008-03-27 2009-10-15 Zenrin Co Ltd Method of creating road marker map
JP2009251944A (en) * 2008-04-07 2009-10-29 Yazaki Corp Driving support device
JP2009054173A (en) * 2008-10-06 2009-03-12 Toyota Motor Corp Device for deciding vehicle travel road
JP4703706B2 (en) * 2008-10-06 2011-06-15 トヨタ自動車株式会社 Vehicle runway determination device
JP2010211701A (en) * 2009-03-12 2010-09-24 Honda Motor Co Ltd Lane recognition device
JP2010244254A (en) * 2009-04-03 2010-10-28 Honda Motor Co Ltd Lane recognition device
JP4679648B2 (en) * 2009-04-03 2011-04-27 本田技研工業株式会社 Lane recognition device
JP2015189403A (en) * 2014-03-28 2015-11-02 マツダ株式会社 Lane keeping controller

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