公开(公告)号：US11238319B2

公开(公告)日：2022-02-01

申请号：US16819087

申请日：2020-03-14

Applicant: Visteon Global Technologies, Inc.

Inventor： Martin Pfeifle ,  Niclas Zeller ,  Markus Mainberger

IPC: G06K9/62 ,  G06K9/00 ,  G06N3/08 ,  G05D1/00 ,  G05D1/02

Abstract: A method for a vehicle includes determining a region of interest based on environment sensor data corresponding an environment of the vehicle and a machine-learned predictor configured to identify, within the environment sensor data, a region as the region of interest that at least statistically coincides with a line of sight of an occupant of the vehicle. The method also includes classifying a detected object within the determined region of interest using an object detection algorithm. The method also includes operating the vehicle in based on at least one of the detected object and the determined region of interest.

公开(公告)号：US20220090939A1

公开(公告)日：2022-03-24

申请号：US17420294

申请日：2020-01-06

Applicant: VISTEON GLOBAL TECHNOLOGIES, INC.

Inventor： Martin Pfeifle ,  Hendrik Bock ,  Mathias Otto ,  Markus Schaefer ,  Sebastian Ammann ,  Nikola Karamanov ,  Markus Mainberger

IPC: G01C21/00 ,  G01C21/32

Abstract: A method for providing vehicle information includes: receiving first vehicle data encoded according to a first protocol and corresponding to an environment external to a vehicle; receiving high definition mapping data corresponding to objects in the environment external to the vehicle; generating position information for objects indicated in the high definition mapping data by correlating locations of objects indicated by the high definition mapping data with objects in the environment external to the vehicle detected by at least one sensor; generating second vehicle data by correlating the high definition mapping data, the position information, and the first vehicle data; and encoding the second vehicle data according to a second protocol.