Invention Grant
- Patent Title: Direct vehicle detection as 3D bounding boxes using neural network image processing
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Application No.: US16500155Application Date: 2018-03-29
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Publication No.: US11216673B2Publication Date: 2022-01-04
- Inventor: Karsten Behrendt
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Michael Best & Friedrich LLP
- International Application: PCT/EP2018/058033 WO 20180329
- International Announcement: WO2018/184963 WO 20181011
- Main IPC: G06K9/00
- IPC: G06K9/00 ; B60R1/00 ; B60W10/18 ; B60W10/20 ; B60W30/14 ; B60W30/18 ; B60W50/14 ; G05D1/02 ; G06K9/03 ; G06K9/20 ; G06K9/62 ; G06N3/04 ; G06N3/08

Abstract:
Systems and methods of detecting and tracking one or more vehicles in a field of view of an imaging system using neural network processing. An electronic controller receives an input image from a camera mounted on the host vehicle. The electronic controller applies a neural network configured to output a definition of a three-dimensional bounding box based at least in part on the input image. The three-dimensional bounding box indicates a size and a position of a detected vehicle in a field of view of the input image. The three-dimensional bounding box includes a first quadrilateral shape outlining a rear or front of the detected vehicle and a second quadrilateral shape outline a side of the detected vehicle.
Public/Granted literature
- US20200349365A1 DIRECT VEHICLE DETECTION AS 3D BOUNDING BOXES USING NEURAL NETWORK IMAGE PROCESSING Public/Granted day:2020-11-05
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