Invention Grant
- Patent Title: Fusion of RGB images and LiDAR data for lane classification
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Application No.: US14816808Application Date: 2015-08-03
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Publication No.: US09710714B2Publication Date: 2017-07-18
- Inventor: Xin Chen , Andi Zang , Xinyu Huang
- Applicant: Nokia Technologies Oy
- Applicant Address: FI Espoo
- Assignee: Nokia Technologies Oy
- Current Assignee: Nokia Technologies Oy
- Current Assignee Address: FI Espoo
- Agency: Lempia Summerfield Katz LLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/32 ; G06K9/48 ; G06T7/00 ; G06T5/50 ; G06T7/40 ; G01S17/02

Abstract:
Point cloud data is received and a ground plane is segmented. A two-dimensional image of the segmented ground plane is generated based on intensity values of the segmented ground plane. Lane marking candidates are determined based on intensity within the generated two-dimensional image. Image data is received and the generated two-dimensional image is registered with the received image data. Lane marking candidates of the received image data are determined based on the lane marking candidates of the registered two-dimensional image. Image patches are selected from the two-dimensional image and from the received image data based on the determined lane markings. Feature maps including selected image patches from the registered two-dimensional image and received data are generated. The set of feature maps are sub-sampled, and a feature vector is generated based on the set of feature maps. Lane markings are determined from the generated feature vector.
Public/Granted literature
- US20170039436A1 Fusion of RGB Images and Lidar Data for Lane Classification Public/Granted day:2017-02-09
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