Invention Grant
- Patent Title: Neural network for localization and object detection
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Application No.: US16799210Application Date: 2020-02-24
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Publication No.: US11574463B2Publication Date: 2023-02-07
- Inventor: Gaurav Pandey , Nikita Jaipuria , Praveen Narayanan , Punarjay Chakravarty
- Applicant: Ford Global Technologies, LLC
- Applicant Address: US MI Dearborn
- Assignee: Ford Global Technologies, LLC
- Current Assignee: Ford Global Technologies, LLC
- Current Assignee Address: US MI Dearborn
- Agency: Bejin Bieneman PLC
- Agent Frank A. MacKenzie
- Main IPC: G06V10/774
- IPC: G06V10/774 ; G06K9/62 ; G06N3/08 ; B60W60/00 ; G06V20/58

Abstract:
The present disclosure discloses a system and a method. In an example implementation, the system and the method generate, at a first encoder neural network, an encoded representation of image features of an image received from a vehicle sensor of a vehicle. The system and method can also generate, at a second encoder neural network, an encoded representation of map tile features and generate, at the decoder neural network, a semantically segmented map tile based on the encoded representation of image features, the encoded representation of map tile features, and Global Positioning System (GPS) coordinates of the vehicle. The semantically segmented map tile includes a location of the vehicle and detected objects depicted within the image with respect to the vehicle.
Public/Granted literature
- US20210264213A1 NEURAL NETWORK FOR LOCALIZATION AND OBJECT DETECTION Public/Granted day:2021-08-26
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