公开(公告)号：US20220289239A1

公开(公告)日：2022-09-15

申请号：US17824355

申请日：2022-05-25

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Moshe Shenfeld ,  Gideon Wachtel ,  Ori Segel

IPC: B60W60/00 ,  G05D1/02 ,  G01C21/00 ,  G01C21/30 ,  B60W30/095

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a first image captured by a forward-facing camera and a second image captured by a rearward-facing camera and as the host vehicle travels along a road segment in a first direction; detect a semantic feature represented in the first image and a semantic feature represented in the second image, the semantic features being associated with predetermined object type classifications; identify position descriptors associated with the first semantic feature and the second semantic feature; receive position information indicative of positions of the forward-facing and rearward-facing cameras when the first and second images were captured; and cause transmission of drive information including the position descriptors and the position information to a remotely-located entity.

公开(公告)号：US20220383545A1

公开(公告)日：2022-12-01

申请号：US17824264

申请日：2022-05-25

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Gideon Wachtel ,  Yoav Taieb ,  Yahel Guberman ,  Ofer Fridman ,  Raz Cohen Maslaton ,  Moshe Shenfeld ,  Ori Segel ,  Ofer Springer

IPC: G06T7/73 ,  G01S19/45 ,  G06V20/58 ,  G06V10/44 ,  G08G1/04 ,  B60R1/22 ,  G01C21/00

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.