Invention Grant
- Patent Title: System and method for image localization based on semantic segmentation
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Application No.: US15598727Application Date: 2017-05-18
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Publication No.: US10558864B2Publication Date: 2020-02-11
- Inventor: Zehua Huang , Pengfei Chen , Panqu Wang , Ke Xu
- Applicant: TuSimple
- Applicant Address: US CA San Diego
- Assignee: TuSimple
- Current Assignee: TuSimple
- Current Assignee Address: US CA San Diego
- Agency: Inventive Law Inc.
- Agent Jim H. Salter
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G05D1/02

Abstract:
A system and method for image localization based on semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; identifying extraneous objects in the semantic label image data; removing the extraneous objects from the semantic label image data; comparing the semantic label image data to a baseline semantic label map; and determining a vehicle location of the autonomous vehicle based on information in a matching baseline semantic label map.
Public/Granted literature
- US20180336421A1 SYSTEM AND METHOD FOR IMAGE LOCALIZATION BASED ON SEMANTIC SEGMENTATION Public/Granted day:2018-11-22
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