Automated topometric graph generation from floor plan analysis


Autoria(s): Lam, Obadiah; Dayoub, Feras; Schulz, Ruth; Corke, Peter
Data(s)

01/12/2015

Resumo

The world is rich with information such as signage and maps to assist humans to navigate. We present a method to extract topological spatial information from a generic bitmap floor plan and build a topometric graph that can be used by a mobile robot for tasks such as path planning and guided exploration. The algorithm first detects and extracts text in an image of the floor plan. Using the locations of the extracted text, flood fill is used to find the rooms and hallways. Doors are found by matching SURF features and these form the connections between rooms, which are the edges of the topological graph. Our system is able to automatically detect doors and differentiate between hallways and rooms, which is important for effective navigation. We show that our method can extract a topometric graph from a floor plan and is robust against ambiguous cases most commonly seen in floor plans including elevators and stairwells.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/90385/

Relação

http://eprints.qut.edu.au/90385/1/main_text.pdf

https://wiki.qut.edu.au/display/cyphy/ACRA+2015+-+Automated+Map+Reading

Lam, Obadiah, Dayoub, Feras, Schulz, Ruth, & Corke, Peter (2015) Automated topometric graph generation from floor plan analysis. In Australasian Conference on Robotics and Automation (ACRA 2015), 2-4 December 2015, Australian National University, Canberra, A.C.T. (In Press)

http://purl.org/au-research/grants/ARC/DP140103216

Direitos

Copyright 2015 [Please consult the author]

Fonte

ARC Centre of Excellence for Robotic Vision; Science & Engineering Faculty

Palavras-Chave #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #080104 Computer Vision #090000 ENGINEERING
Tipo

Conference Paper