公开(公告)号：US20220333932A1

公开(公告)日：2022-10-20

申请号：US17809632

申请日：2022-06-29

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Kevin ROSENBLUM ,  Alon ZIV ,  Erez DAGAN ,  David BOUBLIL ,  Nadav SHAAG ,  David NEUHOF ,  Jeffrey MOSKOWITZ ,  Gal TOPEL

IPC: G01C21/30 ,  G01C21/00 ,  G01S17/89

Abstract: A navigation system for a host vehicle may include a processor programmed to: receive, from an entity remotely located relative to the host vehicle, a sparse map associated with at least one road segment to be traversed by the host vehicle; receive point cloud information from a LIDAR system onboard the host vehicle, the point cloud information being representative of distances to various objects in an environment of the host vehicle; compare the received point cloud information with at least one of the plurality of mapped navigational landmarks in the sparse map to provide a LIDAR-based localization of the host vehicle relative to at least one target trajectory; determine an navigational action for the host vehicle based on the LIDAR-based localization of the host vehicle relative to the at least one target trajectory; and cause the at least one navigational action to be taken by the host vehicle.

公开(公告)号：US20220333927A1

公开(公告)日：2022-10-20

申请号：US17809589

申请日：2022-06-29

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Kevin ROSENBLUM ,  Erez DAGAN ,  David BOUBLIL ,  Nadav SHAAG ,  David NEUHOF ,  Jeffrey MOSKOWITZ ,  Gal TOPEL

IPC: G01C21/16 ,  G01S17/86 ,  G01S17/42 ,  G01S7/481 ,  G01S17/58 ,  G01S17/89

Abstract: A navigation system for a host vehicle may include a processor programmed to determine at least one indicator of ego motion of the host vehicle. A processor may be also programmed to receive, from a LIDAR system, a first point cloud including a first representation of at least a portion of an object and a second point cloud including a second representation of the at least a portion of the object. The processor may further be programmed to determine a velocity of the object based on the at least one indicator of ego motion of the host vehicle, and based on a comparison of the first point cloud, including the first representation of the at least a portion of the object, and the second point cloud, including the second representation of the at least a portion of the object.

公开(公告)号：US20220324437A1

公开(公告)日：2022-10-13

申请号：US17809612

申请日：2022-06-29

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Chaim BLAU ,  Ofer SPRINGER ,  Kevin ROSENBLUM ,  Alon ZIV ,  Erez DAGAN ,  David BOUBLIL ,  Nadav SHAAG ,  David NEUHOF ,  Jeffrey MOSKOWITZ ,  Gal TOPEL ,  Yotam STERN

IPC: B60W30/09 ,  G01C21/30 ,  G01S17/86 ,  G01S17/931 ,  B60W60/00 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20

Abstract: A navigation system for a host vehicle may include a processor programmed to: receive from a camera onboard the host vehicle at least one captured image representative of an environment of the host vehicle, wherein the camera is positioned at a first location relative to the host vehicle; receive point cloud information from a LIDAR system onboard the host vehicle, wherein the LIDAR system is positioned at a second location relative to the host vehicle; analyze the at least one captured image and the received point cloud information to detect one or more objects in the shared field of view region; determine whether a vantage point difference between the first location of the camera and the second location of the LIDAR system accounts for the one or more detected objects being represented in only one of the at least one captured image or the received point cloud information.

公开(公告)号：US20250118061A1

公开(公告)日：2025-04-10

申请号：US18909511

申请日：2024-10-08

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： David BOUBLIL ,  Amittai Elia COHEN-ZEMACH ,  Roy STEINBERG ,  Gilad Avraham BARACH

IPC: G06V10/80 ,  B60W60/00 ,  G01S7/481 ,  G01S7/4865 ,  G01S17/86 ,  G01S17/894 ,  G01S17/931 ,  G06V20/58

Abstract: In an embodiment, a computer-implemented method combines data from a lidar sensor and camera. A point cloud collected from the lidar sensor is received. The lidar sensor is mounted on a vehicle. A plurality of lines of points from the point cloud are identified such that each of the identified plurality of lines of points is at a substantially different angle from a plane of a road the vehicle is driving on. An image captured from the camera is received. The camera is mounted on the vehicle, the image having been captured substantially simultaneously with the point cloud. Using an image analysis algorithm, a plurality of objects in the image are identified. Respective objects from the plurality of objects are correlated with the identified plurality of lines of points.

公开(公告)号：US20250115240A1

公开(公告)日：2025-04-10

申请号：US18909705

申请日：2024-10-08

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Jeffrey MOSKOWITZ ,  Boris BRAGINSKY ,  David BOUBLIL ,  Shmuel HAZUT ,  Alon ZIV ,  Yahel GUBERMAN ,  Avner YAKOV ,  Niv KEREN ,  Aryeh NAILAND ,  Adam KAPLAN ,  Rotem IDELSON ,  Izhak Daniel YACOBY

IPC: B60W30/10 ,  G01S7/48 ,  G01S17/89

Abstract: Lidar produces three-dimensional point clouds. From the point clouds, objects need to be detected and tracked. For example, from the point clouds, embodiments detect what kind of objects is detected, what shape the object is, and the objects current location and trajectory. Each lidar sensor on a vehicle produces a point cloud periodically. The point cloud is input into a deep learning neural network that outputs road geometry, such as road edges and lane dividers. In some embodiments, the other network can also output information about other objects in the environment, such as other vehicles and pedestrians.