Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System

• Published in: arXiv.org
• Main Authors: Chen, Jie, Low, Kian Hsiang, Colin Keng-Yan Tan
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 02.06.2013
• Subjects: Algorithms; Data integration; Demand; Detection; Gaussian process; Goal programming; Mathematical models; Multisensor fusion; Performance prediction; Power efficiency; Real time; Robotic vehicles; Vehicles

Mobility-on-demand (MoD) systems have recently emerged as a promising paradigm of one-way vehicle sharing for sustainable personal urban mobility in densely populated cities. In this paper, we enhance the capability of a MoD system by deploying robotic shared vehicles that can autonomously cruise th...