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Field Geology with a Wearable Computer: First Results of the Cyborg Astrobiologist System (2004)

Abstract
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. 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: dealing with structural shadow and microtexture, and also, controlling the camera's zoom lens in an intelligent manner. Nonetheless, despite these and other 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.. Comment: 7 pages, 6 figures. Submitted to ICRA'2005 (Int'l Conf. on Robotics & Automation, IEEE), April 18-22, 2005, Barcelona, Spain

Publication details
Download http://arxiv.org/abs/cs/0409031
Repository arXiv (United States)
Keywords Computer Science - Computer Vision and Pattern Recognition, Astrophysics, Computer Science - Robotics, 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
Type text