Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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A new data-driven geometric scene description method for agent localization

2018/31/N/ST6/00941

Keywords:

scene analysis computer vision localization deep learning

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
  • 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 Automatyki, Robotyki i Elektrotechniki

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Jan Wietrzykowski 

Number of co-investigators in the project: 2

Call: PRELUDIUM 16 - announced on 2018-09-14

Amount awarded: 139 960 PLN

Project start date (Y-m-d): 2019-07-11

Project end date (Y-m-d): 2022-07-10

Project duration:: 36 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

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

Equipment purchased [PL]

  1. Skaner laserowy 3-D (40 000 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (1)
  1. PlaneLoc2: Indoor Global Localization Using Planar Segments and Passive Stereo Camera
    Authors:
    Jan Wietrzykowski
    Academic press:
    IEEE Access (rok: 2022, tom: 10, strony: 67219-67229), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2022.3185732 - link to the publication
  2. Stereo Plane R-CNN: Accurate scene geometry reconstruction using planar segments and camera-agnostic representation
    Authors:
    Jan Wietrzykowski, Dominik Belter
    Academic press:
    IEEE Robotics and Automation Letters (rok: 2022, tom: 7, strony: 4345-4352), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/LRA.2022.3150841 - link to the publication
  1. On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM
    Authors:
    Jan Wietrzykowski, Piotr Skrzypczyński
    Conference:
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 27.09-1.10
    Status:
    Published

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