Invention Grant
- Patent Title: Method and a machine learning system for classifying objects
-
Application No.: US16151841Application Date: 2018-10-04
-
Publication No.: US11410022B2Publication Date: 2022-08-09
- Inventor: Jens Eric Markus Mehnert
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Norton Rose Fulbright US LLP
- Agent Gerard Messina
- Priority: DE102017217844.2 20171006
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G01S7/48 ; G06V20/58 ; G06N20/00 ; G01S17/48 ; G06K9/62 ; G06N3/08 ; G01S17/88 ; G01S17/931
Abstract:
A method for classifying an object having the following: receiving at least one item of distance information of an object based on a first electromagnetic signal transmitted by a transmitter device and a first electromagnetic signal received by a receiver device; receiving at least one item of oscillation information of the object based on a second electromagnetic signal transmitted by a transmitter device and a second electromagnetic signal received by a receiver device, which represents a solid oscillation of at least one subsection of the object; and classifying the object based on the received information.
Public/Granted literature
- US20190108435A1 METHOD AND A MACHINE LEARNING SYSTEM FOR CLASSIFYING OBJECTS Public/Granted day:2019-04-11
Information query
