公开(公告)号：US20250067572A1

公开(公告)日：2025-02-27

申请号：US18947717

申请日：2024-11-14

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Yoav Taieb ,  Raz Cohen Maslaton ,  Maxim Schwartz ,  Kfir Viente

IPC: G01C21/00 ,  B60W10/18 ,  B60W30/18 ,  G01C21/36 ,  G06T7/00 ,  G06T7/246 ,  G06T7/32 ,  G06T7/70 ,  G06T7/73 ,  G06V10/46 ,  G06V20/56 ,  G06V20/58 ,  G06V20/64 ,  G06V40/10

Abstract: A system for correlating information collected from a plurality of vehicles relative to a common road segment is disclosed. The vehicle system includes at least one processor programmed to receive a first set of drive information from a first vehicle including first and second indicators of position associated with detected semantic and non-semantic road features; receive a second set of drive information from a second vehicle including third and fourth indicators of position associated with the detected semantic and non-semantic road features; correlate the first and second sets of drive information by determining a refined position of the detected semantic road feature based on the first and third indicators and a refined position of the detected non-semantic road feature based on the second and forth indicators; store the refined positions of the detected semantic and non-semantic road features in a map; and distribute the map to one or more vehicles.

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.