Decentralized Data Collection via Swarm Contracts: Study on Crowd-Sourced Google Maps
Decentralized Data Collection via Swarm Contracts: Study on Crowd-Sourced Google Maps
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DOI：
10.1109/iccar57134.2023.10151727
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发表时间：
2023-04
期刊：
影响因子：
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通讯作者：
S. Mallikarachchi;Bonnie Ho;Iyad A. Kanj;O. Seneviratne;I. Godage
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文献类型：
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作者：
S. Mallikarachchi;Bonnie Ho;Iyad A. Kanj;O. Seneviratne;I. Godage
“数据是新的石油”已经成为技术界的流行语，强调了数据在当今数字时代的巨大价值。大多数服务和平台都依赖于数据，但收集这些数据可能具有挑战性且成本高昂。为了解决这个问题，我们利用了一种新的分布式众包框架-称为Swarm Contracts -该框架利用区块链并应用于机器人技术。该框架通过开源机器人和安全、分散和透明的基于区块链的激励系统鼓励激励众包模式。为了展示该框架的功能，我们使用它来收集Google Street View®地图数据，这可能是一项资源密集型任务，使用传统的集中式方法来保持最新状态。我们的Swarm Contract框架使用Google Street View®Publish API，它允许将街景数据贡献给Google Maps @，以实现基于激励的街景图像众包。通过将Swarm Contract驱动的框架与Google Street View®Publish API相结合，我们表明街景数据的激励众包可以成为保持准确和最新Google Street View®地图的实用解决方案。
“Data is the new oil” has become a popular catch-phrase in the world of technology, emphasizing the immense value of data in today's digital age. Most services and platforms rely on data, but collecting this data can be challenging and costly. To address this issue, we leverage a novel distributed crowdsourcing framework - termed Swarm Contracts - that utilizes blockchain and is applied to robotics technologies. The framework encourages an incentivized crowdsourcing model through open-source robots and a secure, decentralized, and transparent blockchain-based incentive system. As a demonstration of the framework's capabilities, we use it to collect Google Street View®map data, which can be a resource-intensive task to keep up to date using traditional centralized methods. Our Swarm Contract framework uses Google Street View®Publish API, which allows for the contribution of street view data to Google Maps @to implement the incentive-based crowdsourcing of street view images. By incorporating a swarm contract-powered framework with the Google Street View®Publish API, we show that the incentivized crowdsourcing of street view data can be a practical solution to maintain accurate and up-to-date Google Street View®maps.