Research Article
Revolutionizing Autonomous Vehicle Intelligence with Cutting-Edge Spatial Crowdsourcing Framework
@INPROCEEDINGS{10.1007/978-3-031-66044-3_9, author={Ayushi Jain and Vaibhav Saini and Ayush Dodia and M. V. V. Prasad Kantipudi}, title={Revolutionizing Autonomous Vehicle Intelligence with Cutting-Edge Spatial Crowdsourcing Framework}, proceedings={Pervasive Knowledge and Collective Intelligence on Web and Social Media. Second EAI International Conference, PerSOM 2023, Hyderabad, India, November 24--25, 2023, Proceedings}, proceedings_a={PERSOM}, year={2024}, month={8}, keywords={Crowdsourcing Mobile Crowdsourcing Advanced Spatial Crowdsourcing (ASC) Autonomous vehicle real-time intelligent system ITS Intelligent Transportation System Internet of Things Smart Cities}, doi={10.1007/978-3-031-66044-3_9} }- Ayushi Jain
Vaibhav Saini
Ayush Dodia
M. V. V. Prasad Kantipudi
Year: 2024
Revolutionizing Autonomous Vehicle Intelligence with Cutting-Edge Spatial Crowdsourcing Framework
PERSOM
Springer
DOI: 10.1007/978-3-031-66044-3_9
Abstract
Crowdsourcing is an approach for performing spatial tasks that depends upon the efforts of many people and has received increasing attention in the past couple of years. Because of their effectiveness and simplicity, crowdsourcing work is frequently conducted online so-called mobile crowdsourcing. Due to the special challenges of engaging in real physical locations, this conventional technique might sometimes fail. As a result, a completely novel model for data collecting known as advanced spatial crowdsourcing (ASC) has grown up in recent years. In this paper, review of the existing work has been done and suggested the methodology by constructing the architecture and features of crowdsourcing, including Mobile Crowdsourcing, Spatial Crowdsourcing, Autonomous Vehicle Crowdsensing, and much more. As crowdsourcing is very important for autonomous vehicle, our research suggested the integration of Advanced crowdsourcing with Autonomous vehicle & real-time intelligent system. The objective of this research is to identify and explore the ITS (Intelligent Transportation System) technology that is made possible by IoT devices, as well as vehicle safety, vehicle security, and intelligent vehicle systems implementing advanced crowdsourcing. Finally, research aims to offer a variety of crowdsourcing applications and services like healthcare, Smart city, autonomous vehicle, and advanced applications.
