Skip to main navigation Skip to search Skip to main content

DiTer++: Diverse Terrain and Multi-Modal Dataset for Multi-Robot SLAM in Multi-Session Environments

  • Juwon Kim
  • , Hogyun Kim
  • , Seokhwan Jeong
  • , Youngsik Shin
  • , Younggun Cho
  • Inha University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We encounter large-scale environments where both structured and unstructured spaces coexist, such as on campuses. In this environment, lighting conditions and dynamic objects change constantly. To tackle the challenges of large-scale mapping under such conditions, we introduce DiTer++, a diverse terrain and multi-modal dataset designed for multi-robot SLAM in multi-session environments. According to our datasets' scenarios, Agent-A and Agent-B scan the area designated for efficient large-scale mapping day and night, respectively. Also, we utilize legged robots for terrain-agnostic traversing. To generate the ground-truth of each robot, we first build the survey-grade prior map. Then, we remove the dynamic objects and outliers from the prior map and extract the trajectory through scan-to-map matching. Our dataset and supplement materials are available at https://github.com/sparolab/DiTer-plusplus/.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Robotics and Automation, ICRA 2025
EditorsChristian Ott, Henny Admoni, Sven Behnke, Stjepan Bogdan, Aude Bolopion, Youngjin Choi, Fanny Ficuciello, Nicholas Gans, Clement Gosselin, Kensuke Harada, Erdal Kayacan, H. Jin Kim, Stefan Leutenegger, Zhe Liu, Perla Maiolino, Lino Marques, Takamitsu Matsubara, Anastasia Mavromatti, Mark Minor, Jason O'Kane, Hae Won Park, Hae-Won Park, Ioannis Rekleitis, Federico Renda, Elisa Ricci, Laurel D. Riek, Lorenzo Sabattini, Shaojie Shen, Yu Sun, Pierre-Brice Wieber, Katsu Yamane, Jingjin Yu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12187-12193
Number of pages7
ISBN (Electronic)9798331541392
DOIs
StatePublished - 2025
Event2025 IEEE International Conference on Robotics and Automation, ICRA 2025 - Atlanta, United States
Duration: 19 May 202523 May 2025

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2025 IEEE International Conference on Robotics and Automation, ICRA 2025
Country/TerritoryUnited States
CityAtlanta
Period19/05/2523/05/25

Fingerprint

Dive into the research topics of 'DiTer++: Diverse Terrain and Multi-Modal Dataset for Multi-Robot SLAM in Multi-Session Environments'. Together they form a unique fingerprint.

Cite this