Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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A new method for the fusion of quantitative and qualitative information using factor graph optimization for the simultaneous localization and mapping problem

2015/17/N/ST6/01228

Keywords:

data fusion graph-based optimization SLAM robotics

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST7_10: Hardware implementation of algorithms

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Poznańska, Wydział Elektryczny

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Michał Nowicki 

Number of co-investigators in the project: 2

Call: PRELUDIUM 9 - announced on 2015-03-16

Amount awarded: 88 920 PLN

Project start date (Y-m-d): 2016-03-14

Project end date (Y-m-d): 2019-09-13

Project duration:: 42 months (the same as in the proposal)

Project status: Project settled

Project description

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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (4)
  • Articles in post-conference publications (1)
  • Book publications / chapters in book publications (2)
  1. A Multi-User Personal Indoor Localization System Employing Graph-Based Optimization
    Authors:
    Michał R. Nowicki, Piotr Skrzypczyński
    Academic press:
    MDPI Sensors (rok: 2019, tom: 19, strony: 157), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/s19010157 - link to the publication
  2. Leveraging Visual Place Recognition to Improve Indoor Positioning with Limited Availability of WiFi Scans
    Authors:
    Michał R. Nowicki, Piotr Skrzypczyński
    Academic press:
    MDPI Sensors (rok: 2019, tom: 19(17), strony: 3657), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/s19173657 - link to the publication
  3. Real-Time Visual Place Recognition for Personal Localization on a Mobile Device
    Authors:
    Michał Nowicki, Jan Wietrzykowski, Piotr Skrzypczyński
    Academic press:
    Wireless Personal Communications (rok: 2017, tom: 97/1, strony: 213-244), Wydawca: Springer International Publishing AG
    Status:
    Published
    DOI:
    10.1007/s11277-017-4502-y - link to the publication
  4. An Experimental Study On Feature-Based SLAM For Multi-Legged Robots With RGB-D Sensors
    Authors:
    Michał Nowicki, Petr Cizek, Aleksander Kostusiak, Dominik Belter, Jan Faigl, Piotr Skrzypczyński
    Academic press:
    Industrial Robot: An International Journal (rok: 2017, tom: 44, strony: 428-441), Wydawca: Emerald Publishing Limited
    Status:
    Published
    DOI:
    10.1108/IR-11-2016-0340 - link to the publication
  1. Non-metric constraints in the graph-based optimization for personal indoor localization
    Authors:
    Michał Nowicki
    Conference:
    2018 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC) (rok: 2018, ), Wydawca: IEEE
    Data:
    konferencja 7-10.10.2018
    Status:
    Published
  1. Adopting the FAB-MAP algorithm for indoor localization with WiFi fingerprints
    Authors:
    Jan Wietrzykowski, Michał Nowicki, Piotr Skrzypczyński
    Book:
    Automation 2017: Innovations in Automation, Robotics and Measurement Techniques, Advances in Intelligent Systems and Computing (rok: 2017, tom: 550, strony: 585-594), Wydawca: Springer International Publishing
    Status:
    Published
    DOI:
    link to the publication
  2. Low-effort place recognition with WiFi fingerprints using deep learning
    Authors:
    Michał Nowicki, Jan Wietrzykowski
    Book:
    Automation 2017: Innovations in Automation, Robotics and Measurement Techniques, Advances in Intelligent Systems and Computing (rok: 2017, tom: 550, strony: 575-584), Wydawca: Springer International Publishing
    Status:
    Published
    DOI:
    link to the publication

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