Pothole in the Dark: Perceiving Pothole Profiles with Participatory Urban Vehicles-Reference-Cited by-同舟云学术

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Pothole in the Dark: Perceiving Pothole Profiles with Participatory Urban Vehicles

Published:2017-05-01 Issue:5 Volume:16 Page:1408-1419
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Xue Guangtao,Zhu Hongzi,Hu Zhenxian,Yu Jiadi,Zhu Yanmin,Luo Yuan

Funder

NSFC

State High-Tech Development Plan

NRF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/7891654/07530917.pdf?arnumber=7530917

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4. IoT and Cloud Based Automated Pothole Detection Model Using Extreme Gradient Boosting with Texture Descriptors;Scalable Computing: Practice and Experience;2023-11-17

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