Deep-Learning and Depth-Map Based Approach for Detection and 3-D Localization of Small Traffic Signs

Deep-Learning and Depth-Map Based Approach for Detection and 3-D Localization of Small Traffic Signs

The three-dimensional (3-D) geographic locations of street furniture, such as traffic signs, comprise the basic content of 3-D city construction, and such information is indispensable for periodic statistics for road management and maintenance. This article presents a novel solution for acquiring 3-...

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Bibliographic Details
Main Authors: Lirong Liu, Xinming Tang, Junfeng Xie, Xiaoming Gao, Wenji Zhao, Fan Mo, Gang Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolution neural network (CNN)
depth map
mobile mapping
three-dimensional (3-D) localization
traffic sign detection
Online Access:https://ieeexplore.ieee.org/document/9078805/

Internet

https://ieeexplore.ieee.org/document/9078805/

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