Scalable, distributed, real-time map generation

被引:136
|
作者
Davies, Jonathan J. [1 ]
Beresford, Alastair R. [1 ]
Hopper, Andy [1 ]
机构
[1] Univ Cambridge, Comp Lab, Cambridge CB3 0FD, England
关键词
Algorithms - Data processing - Graph theory - Metadata - Navigation systems - Real time systems;
D O I
10.1109/MPRV.2006.83
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An algorithm was developed for keeping digital maps up-to-date, using ordinary vehicles making normal journeys rather than fleets of dedicated probe vehicles. The information about a road network can be represented as a directed graph with metadata associated with its edges. Such a graph can be used to render a graphical depiction of the road network and serve as an input to in-vehicle navigation system. The process of generating a direct graph involves basic stages including generating a 2D histogram, deducing the position of the road edges, computing the positions of the centerlines of the road, and determining the direction of travel permitted along each road. Future research on such a system's architectural design will simulate various architectures and investigate their applicability with other data and processing requirements. Research is also necessary on social and security issues related to participative applications such as protecting privacy of vehicle owners.
引用
收藏
页码:47 / 54
页数:8
相关论文
共 50 条
  • [21] Towards a Scalable Distributed Real-Time Hybrid Simulator for Autonomous Vehicles
    de Hoog, Jens
    Pepermans, Manu
    Mercelis, Siegfried
    Hellinckx, Peter
    ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING, 3PGCIC-2018, 2019, 24 : 447 - 456
  • [22] Monocular Vision based Topological Map Generation in Real-time
    Bhowmick, Soumabha
    Deb, Alok Kanti
    Mukhopadhyay, Jayanta
    2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2018, : 791 - 798
  • [23] Random Exploration Framework for an Autonomous Real-Time Generation of a Map
    Munoz-Panduro, Emanuel
    Ramos, Oscar E.
    PROCEEDINGS OF THE 2018 IEEE 25TH INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND COMPUTING (INTERCON 2018), 2018,
  • [24] Using multiagent systems to improve real-time map generation
    Jabeur, Nafaa
    Boulekrouche, Boubaker
    Moulin, Bernard
    ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4013 : 37 - 48
  • [25] Scalable hardware architecture for disparity map computation and object location in real-time
    Pedro Miguel Santos
    João Canas Ferreira
    José Silva Matos
    Journal of Real-Time Image Processing, 2016, 11 : 473 - 485
  • [26] Scalable hardware architecture for disparity map computation and object location in real-time
    Santos, Pedro Miguel
    Ferreira, Joao Canas
    Matos, Jose Silva
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2016, 11 (03) : 473 - 485
  • [27] A Code Generation Framework for Distributed Real-Time Embedded Systems
    Bambagini, Mario
    Di Natale, Marco
    2012 IEEE 17TH CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (ETFA), 2012,
  • [28] Propeller: A Scalable Real-Time File-Search Service in Distributed Systems
    Xu, Lei
    Jiang, Hong
    Tian, Lei
    Huang, Ziling
    2014 IEEE 34TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2014), 2014, : 378 - 388
  • [29] VOLAP: A Scalable Distributed System for Real-Time OLAP with High Velocity Data
    Dehne, Frank
    Robillard, David
    Rau-Chaplin, Andrew
    Burke, Neil
    2016 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER), 2016, : 354 - 363
  • [30] R-Store: A Scalable Distributed System for Supporting Real-time Analytics
    Li, Feng
    Oezsu, M. Tamer
    Chen, Gang
    Ooi, Beng Chin
    2014 IEEE 30TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2014, : 40 - 51