Invention Grant
- Patent Title: Lidar noise removal using image pixel clusterings
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Application No.: US15923592Application Date: 2018-03-16
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Publication No.: US10650531B2Publication Date: 2020-05-12
- Inventor: Athmanarayanan Lakshmi Narayanan , Yi-Ting Chen
- Applicant: HONDA MOTOR CO., LTD.
- Applicant Address: JP Tokyo
- Assignee: HONDA MOTOR CO., LTD.
- Current Assignee: HONDA MOTOR CO., LTD.
- Current Assignee Address: JP Tokyo
- Agency: Arent Fox, LLP
- Main IPC: G06T7/187
- IPC: G06T7/187 ; G06T5/00

Abstract:
A system, computer-readable medium, and method for improving semantic mapping and traffic participant detection for an autonomous vehicle are provided. The methods and systems may include obtain a two-dimensional image, obtain a three-dimensional point cloud comprising a plurality of points, perform semantic segmentation on the image to map objects with a discrete pixel color, and overlaying the semantic segmentation on the image to generate a updated image, generate superpixel clusters from the semantic segmentation to group like pixels together, project the point cloud onto the updated image comprising the superpixel clusters, and remove points determined to be noise/errors from the point cloud based on determining noisy points within each superpixel cluster.
Public/Granted literature
- US20190287254A1 LIDAR NOISE REMOVAL USING IMAGE PIXEL CLUSTERINGS Public/Granted day:2019-09-19
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