The Cyborg Astrobiologist: First Field Experience
| dc.creator | McGuire, Patrick C. | |
| dc.creator | Ormo, Jens | |
| dc.creator | Diaz-Martinez, Enrique | |
| dc.creator | Rodriguez-Manfredi, Jose Antonio | |
| dc.creator | Gomez-Elvira, Javier | |
| dc.creator | Ritter, Helge | |
| dc.creator | Oesker, Markus | |
| dc.creator | Ontrup, Joerg | |
| dc.date | 2004-10-27 | |
| dc.date.accessioned | 2026-07-07T07:51:18Z | |
| dc.date.available | 2026-07-07T07:51:18Z | |
| dc.description | We present results from the first geological field tests of the `Cyborg Astrobiologist', which is a wearable computer and video camcorder system that we are using to test and train a computer-vision system towards having some of the autonomous decision-making capabilities of a field-geologist and field-astrobiologist. The Cyborg Astrobiologist platform has thus far been used for testing and development of these algorithms and systems: robotic acquisition of quasi-mosaics of images, real-time image segmentation, and real-time determination of interesting points in the image mosaics. The hardware and software systems function reliably, and the computer-vision algorithms are adequate for the first field tests. In addition to the proof-of-concept aspect of these field tests, the main result of these field tests is the enumeration of those issues that we can improve in the future, including: first, detection and accounting for shadows caused by 3D jagged edges in the outcrop; second, reincorporation of more sophisticated texture-analysis algorithms into the system; third, creation of hardware and software capabilities to control the camera's zoom lens in an intelligent manner; and fourth, development of algorithms for interpretation of complex geological scenery. Nonetheless, despite these technical inadequacies, this Cyborg Astrobiologist system, consisting of a camera-equipped wearable-computer and its computer-vision algorithms, has demonstrated its ability of finding genuinely interesting points in real-time in the geological scenery, and then gathering more information about these interest points in an automated manner. | |
| dc.description | 29 pages, 10 figures (in press) | |
| dc.identifier | https://arxiv.org/abs/cs/0410071 | |
| dc.identifier | http://arxiv.org/abs/cs/0410071 | |
| dc.identifier | Int.J.Astrobiol. 3 (2004) 189-207 | |
| dc.identifier | doi:10.1017/S147355040500220X | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/125463 | |
| dc.subject | Computer Vision and Pattern Recognition | |
| dc.subject | Astrophysics | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Computational Engineering, Finance, and Science | |
| dc.subject | Human-Computer Interaction | |
| dc.subject | Robotics | |
| dc.subject | Software Engineering | |
| dc.subject | Neurons and Cognition | |
| dc.subject | I.4.8; I.4.6; I.4.0; I.2.9; I.2.10; J.2.; I.5.5; I.5.4; I.4.9 | |
| dc.title | The Cyborg Astrobiologist: First Field Experience | |
| dc.type | text |