Hybrid Vehicular Crowdsourcing with Driverless Cars: Challenges and a Solution

Hui Gao; Chi Harold Liu; Wendong Wang

doi:10.1109/MC.2018.2879994

Hybrid Vehicular Crowdsourcing with Driverless Cars: Challenges and a Solution

Hui Gao, Chi Harold Liu, Wendong Wang

School of Computer Science and Technology

Beijing University of Posts and Telecommunications

Research output: Contribution to specialist publication › Article

6 Citations (Scopus)

Abstract

Although vehicular crowdsourcing represents an emerging technology to assist many smart city applications, maintaining sensing data quality is still a challenge. This article considers the challenges and offers a potential solution for a hybrid scenario involving both driverless cars and human-controlled vehicles, within the limited task budget.

Original language	English
Pages	24-31
Number of pages	8
Volume	51
No.	12
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2018.2879994
Publication status	Published - Dec 2018

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10.1109/MC.2018.2879994

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title = "Hybrid Vehicular Crowdsourcing with Driverless Cars: Challenges and a Solution",

abstract = "Although vehicular crowdsourcing represents an emerging technology to assist many smart city applications, maintaining sensing data quality is still a challenge. This article considers the challenges and offers a potential solution for a hybrid scenario involving both driverless cars and human-controlled vehicles, within the limited task budget.",

author = "Hui Gao and Liu, {Chi Harold} and Wendong Wang",

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Hybrid Vehicular Crowdsourcing with Driverless Cars: Challenges and a Solution

Abstract

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