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Chapter

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Title

3D object localisation with 2D CNN object detector and 2D odometry

Authors

[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • object detection
  • pose estimation
  • mapping
Abstract

EN In this paper, we deal with the problem of objects detection and 3D position estimation by a mobile-manipulating robot equipped with an RGB-D camera and 2D laser scanner. Instead of estimating 3D position from a single image using CNN, we propose an application of CNN-based 2D object detection and gradient-based optimization that allows estimating 3D object poses from a sequence of images and robot poses obtained from an on-board 2D localization system.

Pages (from - to)

90 - 93

Book

Proceedings of the 3rd Polish Conference on Artificial Intelligence PP-RAI'2022, April 25-27, 2022, Gdynia, Poland

Presented on

3rd Polish Conference on Artificial Intelligence PP-RAI'2022, 25-27.04.2022, Gdynia, Polska

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / chapter

20

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