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公开(公告)号：US10572744B2
公开(公告)日：2020-02-25
申请号：US15308292
申请日：2015-06-03
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. The processing device is also programmed 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. The processing device is further programmed to identify presence of a substantially upright object based on the set of pixels.
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Patent Agency Ranking
公开(公告)号：US11148664B2
公开(公告)日：2021-10-19
申请号：US17126344
申请日：2020-12-18
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Ofer Finelt , Tomer Baba
IPC: B60W30/09 , B60W30/095 , B60W40/072 , G06K9/00 , G05D1/00 , G05D1/02
Abstract: Systems and methods are disclosed for navigating a host vehicle. In one implementation, at least one processor may be programmed to obtain images representative of an environment of a host vehicle; identify, from the images, a feature of a roadway used to navigate the host vehicle on a path, the identified feature of the roadway having an ambiguity along the path; obtain map data associated with the environment to resolve the ambiguity of the identified feature; and generate a trajectory to navigate the host vehicle on the roadway, using the map data associated with the environment.
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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：US20200180612A1
公开(公告)日：2020-06-11
申请号：US16709220
申请日：2019-12-10
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Ofer Finelt , Tomer Baba
IPC: B60W30/09 , B60W40/072 , B60W30/095 , G05D1/02 , G05D1/00 , G06K9/00
Abstract: Systems and methods are disclosed for navigating a host vehicle. In one implementation, at least one processor may be programmed to receive images representative of an environment of the host vehicle; identify an oncoming target vehicle associated with a projected trajectory indicated by an aspect of the oncoming target vehicle in the images; determine that a planned trajectory for the host vehicle crosses the projected trajectory of the oncoming target vehicle and indicates a potential turn-across-path event; determine a remedial action for the host vehicle in response to the oncoming target vehicle and the potential turn-across-path event; implement the remedial action if the oncoming target vehicle is determined to be not approaching a road feature that negates the potential turn-across-path event; and forego the remedial action if the oncoming target vehicle is determined to be approaching a road feature that negates the potential turn-across-path event.
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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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