COURSE ESTIMATOR
    2.
    发明申请
    COURSE ESTIMATOR 审中-公开
    课程估算师

    公开(公告)号:US20150175167A1

    公开(公告)日:2015-06-25

    申请号:US14576884

    申请日:2014-12-19

    Abstract: This disclosure provides as an aspect a course estimator having a curvature radius estimator, a calculator and a determination section. The curvature radius estimator obtains first information on a forward traveling path ahead of a vehicle in a traveling direction of the vehicle at different time points and estimating, on the basis of the first information obtained repeatedly, each curvature radius of the forward traveling path at a respective time. The calculator calculates change information indicating magnitude of time change in curvature radius of the forward traveling path on the basis of the estimated curvature radiuses of the forward traveling paths. The determination section determines whether or not there is a changing point where a road shape of the forward traveling paths changes on the basis of the calculated change information.

    Abstract translation: 本公开提供了具有曲率半径估计器,计算器和确定部分的课程估计器的一个方面。 曲率半径估计器在不同的时间点获得车辆行进方向前方的前进行驶路径的第一信息,并且基于重复获得的前进行驶路径的每个曲率半径, 各自的时间。 计算器基于前进行驶路径的估计的曲率半径来计算表示前进行驶路径的曲率半径的时间变化量的变化信息。 确定部分基于所计算的改变信息来确定前进行驶路径的道路形状是否改变的改变点。

    DRIVING AREA RECOGNITION DEVICE AND METHOD THEREOF

    公开(公告)号:US20180096210A1

    公开(公告)日:2018-04-05

    申请号:US15716415

    申请日:2017-09-26

    CPC classification number: G06K9/00798 G06K9/4638 G06K9/6215 G06T7/13 G06T7/60

    Abstract: A driving area recognition device has an image acquiring section for acquiring image data transmitted from an in-vehicle monocular camera and an extraction section for extracting, from the acquired image data, edge points in boundary parts arranged at both the right side and the left side of a driving area of a vehicle. The device further has a setting section for setting plural provisional areas as candidates of the driving area so that at least a part of each of the plural provisional areas is overlapped together, a calculation section for calculating the number of edge points in each of the plural provisional areas, and a recognition section for recognizing the driving area based on the plural provisional areas and the number of edge points in each of the plural provisional areas.

    BRIGHTNESS VALUE CALCULATION APPARATUS AND LANE MARKING DETECTION SYSTEM
    7.
    发明申请
    BRIGHTNESS VALUE CALCULATION APPARATUS AND LANE MARKING DETECTION SYSTEM 审中-公开
    亮度值计算装置和LANE标记检测系统

    公开(公告)号:US20150178574A1

    公开(公告)日:2015-06-25

    申请号:US14576863

    申请日:2014-12-19

    CPC classification number: G06K9/00798 G06K9/4652 G06T7/90 G06T2207/30256

    Abstract: A brightness value calculation apparatus includes a color image obtaining section which obtains a color image obtained by imaging a view outside a vehicle and a brightness value calculation section which calculates a brightness value A of a pixel of at least part of the color image based on an expression (1): A=αAR+βAG+γAB  (1) where AR is brightness of R (red) of the pixel for which the brightness value A is to be calculated, AG is brightness of G (green) of the pixel for which the brightness value A is to be calculated, AB is brightness of B (blue) of the pixel for which a brightness value A is to be calculated, and α, β, γ are constants satisfying a relationship α>β>γ.

    Abstract translation: 亮度值计算装置包括:彩色图像获取部,其获得通过对车辆外部的视图进行成像而获得的彩色图像;以及亮度值计算部,其基于图像计算部分计算彩色图像的至少一部分的像素的亮度值A 表达式(1):A =αAR+&bgr; AG +γAB(1)其中,AR是要计算亮度值A的像素的R(红色)的亮度,AG是G(绿色)的亮度 要计算亮度值A的像素,AB是要计算亮度值A的像素的B(蓝色)的亮度,α,&bgr;γ是满足关系α>&bgr的常数; >γ。

    IN-VEHICLE RADAR DEVICE
    8.
    发明申请

    公开(公告)号:US20200025905A1

    公开(公告)日:2020-01-23

    申请号:US16585572

    申请日:2019-09-27

    Abstract: An in-vehicle radar device includes a transmission section, a reception section, an analysis section, an extraction section, a speed calculation section, a distance calculation section, and a folding detection section. The folding detection section detects occurrence of erroneous calculation of a distance, when reflection intensity at a frequency peak obtained by the extraction section is smaller than a preset intensity threshold for a distance calculated by the distance calculation section and a frequency width in a frequency spectrum calculated by the analysis section is smaller than a preset width threshold.

    ROAD RECOGNITION APPARATUS
    9.
    发明申请

    公开(公告)号:US20180005073A1

    公开(公告)日:2018-01-04

    申请号:US15639985

    申请日:2017-06-30

    Abstract: In a road recognition apparatus mounted in a vehicle, a shape change point detector is configured to detect a shape change point along each of lane lines of an own lane. A turn-off lane determiner is configured to, if the shape change point is detected, determine whether or not a shape changing lane line that is one of the lane lines including the shape change point constitutes a border of a turn-off lane branching off from the own lane. A road recognizer is configured to, when the shape change point has been detected, use only feature points of the left and right lane lines of the own lane located within a distance from the own vehicle to the shape change point to recognize the shape of the own lane, before a result of determination by the turn-off lane determiner is produced.

    TRAVEL ROAD SHAPE RECOGNITION APPARATUS AND TRAVEL ROAD SHAPE RECOGNITION METHOD

    公开(公告)号:US20180005051A1

    公开(公告)日:2018-01-04

    申请号:US15635643

    申请日:2017-06-28

    CPC classification number: G06K9/00798 G01C21/3602 G06K9/4604 G06T7/13

    Abstract: In a travel road shape recognition apparatus, a first travel road shape, which approximates a shape of a road boundary, is calculated based on feature points indicating the travel road boundary in a captured image. A worsening position, which is a position on the calculated first travel road shape at which a degree of coincidence with the feature points worsens, is detected over an area from near to far from an own vehicle. A second travel road shape, which approximates a shape of the road boundary in an area farther from the own vehicle, beyond the worsening position, is calculated. The road boundary in the area nearer to the own vehicle, up to the worsening position, is recognized from the first travel road shape. The road boundary in the area farther from the own vehicle, beyond the worsening position, is recognized from the second travel road shape.

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