Occupancy Grid Map Completion Based on Geometric Features and Door Discovery

Guzel S., USLU E., YAVUZ S.

12th International Symposium on Digital Forensics and Security, ISDFS 2024, Texas, Amerika Birleşik Devletleri, 29 - 30 Nisan 2024 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/isdfs60797.2024.10527317
  • Basıldığı Şehir: Texas
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Anahtar Kelimeler: Door Discovery On Occupancy Grid Maps, Map Completion Based On Geometric Features, Occupancy Grid Map Completion
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Occupancy grid maps are one of the most robust environment representations to use for problems in robotics such as exploration, navigation, etc. If the partial occupancy maps are used after predicting the uncompleted parts of the map, it is expected that the performance of these tasks will be increased. Therefore, in this paper, we suggest completing partial occupancy maps by using door discovery. In order to do this, initially we find door positions by utilizing geometrical features of the maps and then we implement map completion using image processing techniques based on these door positions. The experimental results show that our approaches are promising with average IoU score up to 0.8790 and have potential to improve the robotic tasks.