Abstract
| Original language | English |
|---|---|
| Title of host publication | Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes) |
| Editors | H. Asama, H. Inoue |
| Publisher | Elsevier B.V. |
| Pages | 185-190 |
| Number of pages | 6 |
| ISBN (Print) | 9780080438993 |
| DOIs | |
| Publication status | Published - 2002 |
Publication series
| Name | IFAC Proceedings Volumes |
|---|---|
| Publisher | Elsevier |
| Number | 19 |
| Volume | 34 |
| ISSN (Electronic) | 1474-6670 |
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Keywords
- mobile robots
- genetic algorithms
- computer vision
- landmark-based navigation
Cite this
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Mobile robot navigation based on visual landmark recognition. / Mata, M; Armingol, JM; de la Escatera, A; Salichs, MA.
Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes). ed. / H. Asama; H. Inoue. Elsevier B.V., 2002. p. 185-190 (IFAC Proceedings Volumes; Vol. 34, No. 19).Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - Mobile robot navigation based on visual landmark recognition
AU - Mata, M
AU - Armingol, JM
AU - de la Escatera, A
AU - Salichs, MA
PY - 2002
Y1 - 2002
N2 - This paper presents a vision-based landmark recognition system for use in mobile robot navigation tasks. It is able to learn new landmarks with very little human intervention. The recognition system can read text inside landmarks, when present. The system uses genetic algorithms (GA) for both learning and recognition processes. Some of the landmarks learnt has been tested for indoor-outdoor topological navigation. The presented experimental illustrate the success of the proposed algorithm. The resulting localization system has been integrated in a complex navigation system onboard on a B21 mobile robot.
AB - This paper presents a vision-based landmark recognition system for use in mobile robot navigation tasks. It is able to learn new landmarks with very little human intervention. The recognition system can read text inside landmarks, when present. The system uses genetic algorithms (GA) for both learning and recognition processes. Some of the landmarks learnt has been tested for indoor-outdoor topological navigation. The presented experimental illustrate the success of the proposed algorithm. The resulting localization system has been integrated in a complex navigation system onboard on a B21 mobile robot.
KW - mobile robots
KW - genetic algorithms
KW - computer vision
KW - landmark-based navigation
U2 - 10.1016/S1474-6670(17)33134-8
DO - 10.1016/S1474-6670(17)33134-8
M3 - Chapter
SN - 9780080438993
T3 - IFAC Proceedings Volumes
SP - 185
EP - 190
BT - Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes)
A2 - Asama, H.
A2 - Inoue, H.
PB - Elsevier B.V.
ER -