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公开(公告)号：US11953599B2
公开(公告)日：2024-04-09
申请号：US16478994
申请日：2018-01-25
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Elad Toledano , Kevin Rosenblum , Erez Dagan , Alon Ziv
IPC: G01S17/86 , G01S17/48 , G01S17/931 , G05D1/00
CPC classification number: G01S17/86 , G01S17/48 , G01S17/931 , G05D1/0212 , G05D1/0248 , G05D1/0251
Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a navigational system for a host vehicle may include at least one processor programmed to: receive a stream of images captured by a camera onboard the host vehicle, wherein the captured images are representative of an environment surrounding the host vehicle; and receive an output of a LIDAR onboard the host vehicle, wherein the output of the LIDAR is representative of a plurality of laser reflections from at least a portion of the environment surrounding the host vehicle. The at least one processor may also be configured to determine at least one indicator of relative alignment between the output of the LIDAR and at least one image captured by the camera; attribute LIDAR reflection information to one or more objects identified in the at least one image based on the at least one indicator of the relative alignment between the output of the LIDAR and the at least one image captured by the camera; and use the attributed LIDAR reflection information and the one or more objects identified in the at least one image to determine at least one navigational characteristic associated with the host vehicle.
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公开(公告)号：US10956756B2
公开(公告)日：2021-03-23
申请号：US16298256
申请日：2019-03-11
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein , Erez Dagan
Abstract: Computerized methods are performable by a driver assistance system while the host vehicle is moving. The driver assistance system includes a camera connectible to a processor. First and second image frames are captured from the field of view of the camera. Corresponding image points of the road are tracked from the first image frame to the second image frame. Image motion between the corresponding image points of the road is processed to detect a hazard in the road. The corresponding image points are determined to be of a moving shadow cast on the road to avoid a false positive detection of a hazard in the road or the corresponding image points are determined not to be of a moving shadow cast on the road to verify detection of a hazard in the road.
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公开(公告)号：US20210042539A1
公开(公告)日：2021-02-11
申请号：US17082363
申请日：2020-10-28
Applicant: Mobileye Vision Technologies Ltd.
Inventor： AMNON SHASHUA , Erez Dagan , Tomer Baba , Yoni Myers , Yossi Hollander
Abstract: Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels, to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude, and to identify presence of a substantially upright object based on the set of pixels.
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公开(公告)号：US20200234065A1
公开(公告)日：2020-07-23
申请号：US16793719
申请日：2020-02-18
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Amnon Shashua , Erez Dagan , Tomer Baba , Yoni Myers , Yossi Hollander
Abstract: Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels, to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude, and to identify presence of a substantially upright object based on the set of pixels.
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公开(公告)号：US20190026568A1
公开(公告)日：2019-01-24
申请号：US16068574
申请日：2017-01-11
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Jack Kario , Tomer Baba , Erez Dagan
Abstract: Systems and methods are provided for augmenting upright object detection. In one implementation, a system for augmenting detection of objects in an environment of a vehicle may include at least one processing device. The at least one processing device may be programmed to: receive, from an image capture device, a first image frame, the first image frame including an attention area associated with a suspected upright object indication; warp, using a level road plane model, an area in a second earlier image frame that corresponds to the attention area; track a plurality of image patches across the warped area and the attention area; compute a road plane model fit to the tracked image patches; and determine whether to suppress the upright object indication based on the tracked image patches being more consistent with a road plane model than with an upright object model.
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Patent Agency Ranking
公开(公告)号：US09656607B2
公开(公告)日：2017-05-23
申请号：US14753762
申请日：2015-06-29
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Gideon Stein , Erez Dagan , Ofer Mano , Amnon Shashua
CPC classification number: G06K9/00805 , B60Q9/008 , B60T7/22 , G06T7/248 , G06T7/337 , G06T7/74 , G06T2207/10004 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241 , G06T2207/30252 , G06T2207/30256 , G08G1/16 , G08G1/161 , G08G1/166
Abstract: A method of estimating a time to collision (TTC) of a vehicle with an object comprising: acquiring a plurality of images of the object; and determining a TTC from the images that is responsive to a relative velocity and relative acceleration between the vehicle and the object.
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公开(公告)号：US09168868B2
公开(公告)日：2015-10-27
申请号：US13874041
申请日：2013-04-30
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein , Erez Dagan , Ofer Mano , Amnon Shashua
CPC classification number: G06K9/00805 , B60Q9/008 , B60T7/22 , G06T7/248 , G06T7/337 , G06T7/74 , G06T2207/10004 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241 , G06T2207/30252 , G06T2207/30256 , G08G1/16 , G08G1/161 , G08G1/166
Abstract: A method of estimating a time to collision (TTC) of a vehicle with an object comprising: acquiring a plurality of images of the object; and determining a TTC from the images that is responsive to a relative velocity and relative acceleration between the vehicle and the object.
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公开(公告)号：US20150085119A1
公开(公告)日：2015-03-26
申请号：US14378798
申请日：2013-02-13
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Erez Dagan , Noam Kahlon , Micky Latowicki , Gideon Stein
CPC classification number: G06K9/00805 , G06T7/20 , G06T2207/10016 , G06T2207/10021 , G06T2207/30252 , G06T2207/30261
Abstract: Computing a time-to-contact (TTC) of a vehicle with an object. The object includes a light source. The system mountable in the vehicle includes a camera and a processor configured to capture images of the object. The processor is operable to track a spot between the images to produce a tracked spot. The spot includes an image of the light source. The processor is operable to compute time-to-contact (TTC) responsive to changes in brightness of the tracked spot.
Abstract translation: 计算具有物体的车辆的时间 - 接触（TTC）。 物体包括光源。 可安装在车辆中的系统包括相机和被配置为捕获对象的图像的处理器。 处理器可操作地跟踪图像之间的点以产生跟踪点。 现场包括光源的图像。 处理器可操作以响应跟踪点的亮度变化来计算时间 - 接触（TTC）。
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公开(公告)号：US20240391494A1
公开(公告)日：2024-11-28
申请号：US18691634
申请日：2022-10-18
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Kevin Rosenblum , Erez Dagan , David Boublil , Eyal Segev Fang
Abstract: Systems and methods for navigating a host vehicle based on RADAR-camera fusion are disclosed. In one implementation, a system includes a processor configured to receive images acquired by a camera onboard the host vehicle; identify a representation of a target vehicle in one of the images; receive from a RADAR system an indicator of a range between the host vehicle and the target vehicle; based on analysis of the images, identify in the image a ground intersection point associated with the target vehicle and a road surface; and determine an elevation value for the road surface based on the indicator of the range between the host vehicle and the target vehicle, the determined ground intersection point, and an angle of inclination between an optical axis of the camera and a ray directed toward a location of the ground intersection point.
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公开(公告)号：US20210264176A1
公开(公告)日：2021-08-26
申请号：US17207206
申请日：2021-03-19
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Gideon Stein , Erez Dagan
Abstract: Computerized methods are performable by a driver assistance system while the host vehicle is moving. The driver assistance system includes a camera connectible to a processor. First and second image frames are captured from the field of view of the camera. Corresponding image points of the road are tracked from the first image frame to the second image frame. Image motion between the corresponding image points of the road is processed to detect a hazard in the road. The corresponding image points are determined to be of a moving shadow cast on the road to avoid a false positive detection of a hazard in the road or the corresponding image points are determined not to be of a moving shadow cast on the road to verify detection of a hazard in the road.
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