標題: | Demo Abstract: A Video-Based Metropolitan Positioning System with Centimeter-Grade Localization for VANETs |
作者: | Chen, Lien-Wu Ho, Yu-Fan Chang, Chia-Chen Tseng, Yu-Chee 資訊工程學系 Department of Computer Science |
關鍵字: | Intelligent Transportation System;Image Recognition;Lane-Level Localization;Positioning;Vehicular Network |
公開日期: | 2015 |
摘要: | In this paper, we propose a video-based metropolitan positioning system (V-MPS) for providing centimeter-grade localization in vehicular networks. The V-MPS system integrates vehicular networks with installed roadside/intersection cameras to provide positioning information to vehicles on the road. V MPS can estimate the precise position of a vehicle and detect the located lane for each vehicle. To the best of our knowledge, V MPS is the first positioning system which provides the following features: 1) it achieves the centimeter-grade positioning accuracy for vehicular networks that can detect the located lanes of vehicles, 2) it employs existing roadside/intersection cameras that can keep additional construction cost low, and 3) it establishes an innovative infrastructure for applications of next-generation Intelligent Transportation System (ITS) that can make lane level traffic control, collision avoidance, and vehicle navigation possible. With vehicular networks, the estimated positions can be broadcast to nearby vehicles. With roadside/intersection cameras, the lane positions of vehicles can be detected even if GPS is not accurate enough to provide lane-level localization. In addition, the traffic condition can be continually monitored to optimize driving efficiency for next-generation ITS. This paper demonstrates our current prototype. |
URI: | http://hdl.handle.net/11536/135754 |
ISBN: | 978-1-4799-8425-1 |
期刊: | 2015 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATION WORKSHOPS (PERCOM WORKSHOPS) |
起始頁: | 187 |
結束頁: | 189 |
Appears in Collections: | Conferences Paper |