Results 261 to 270 of about 26,973 (304)

Stereo based navigation in unstructured environments

IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188), 2002
In this paper a stereo vision method is described developed for autonomous vehicle navigation in unstructured terrain. The disparity between the stereo image sequences is calculated with subpixel accuracy. Robust distance values are obtained by adding a continuity criterion term in the evaluation criterion and by using confidence measures for the found
van der Mark, W., Groen, F.C.A., van den Heuvel, J.C.   +2 more
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Probabilistic terrain classification in unstructured environments

Robotics and Autonomous Systems, 2013
Autonomous navigation in unstructured environments is a complex task and an active area of research in mobile robotics. Unlike urban areas with lanes, road signs, and maps, the environment around our robot is unknown and unstructured. Such an environment requires careful examination as it is random, continuous, and the number of perceptions and ...
Marcel Häselich, Marc Arends, Nicolai Wojke, Frank Neuhaus, Dietrich Paulus   +4 more
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Robotic Construction Systems in Unstructured Environments

2023
49 pages ; Supplemental file(s) description: None. ; The research presented in my dissertation is dedicated to advancing autonomous construction systems with a specific focus on enabling the design and implementation of highly adaptable multi-robot construction systems in unstructured environments.
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Fast mobile robots in unstructured environments

1993
This paper addresses the design, development and implementation of a fast mobile robot (> 5m/s) evolving in a crowded and ill-structured environment. It then considers the intelligent observation of ill-structured environments. The purpose of the experiments carried out is to emphasize some aspects of the motion planning problem, namely fast collision ...
René Zapata, P. Lépinay
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Processing Image Data from Unstructured Environments

2023
Advanced mobility research centers capture large amounts of data from ground vehicle systems during development and experimentation in both manned and autonomous operations. This exponential growth of digital image data has given rise to the need of understanding the content of image datasets by clustering and classifying them without the use of manual
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Simultaneous exploration and 3d mapping of unstructured environments

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
Mobile vehicles equipped with range sensing capabilities are well suited for exploring and mapping unknown environments. This paper describes such an exploration platform, based upon an all-terrain skid-steer vehicle and a forward-looking laser rangefinder.
T. Gerbaud, V. Polotski, P. Cohen
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Precision UAV Landing in Unstructured Environments

2020
Autonomous landing of a drone is a necessary part of autonomous flight. One way to have high certainty of safety in landing is to return to the same location the drone took-off from. Implementations of return-to-home functionality fall short when relying solely on GPS or odometry as inaccuracies in the measurements and drift in the state estimate ...
Kevin Pluckter, Sebastian Scherer
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A Natural Feature Representation for Unstructured Environments

IEEE Transactions on Robotics, 2008
This paper addresses the long-standing problem of feature representation in the natural world for autonomous navigation systems. The proposed representation combines Isomap, which is a nonlinear manifold learning algorithm, with expectation maximization, which is a statistical learning scheme.
Fabio Tozeto Ramos, Kumar, Suresh, Upcroft, Ben, Durrant-Whyte, Hugh   +3 more
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Robust Object Recognition in Unstructured Environments

2013
One of the main goals of Robotics research is to help human beings in their daily tasks. However, physical interaction in everyday human scenarios requires robot systems endowed with rich sensory-motor skills and multisensory feedback that enables them to exhibit levels of adaptability high enough to achieve their goals. In this context, vision plays a
Ester Martínez-Martín, Angel P. del Pobil   +1 more
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Interactive segmentation for manipulation in unstructured environments

2009 IEEE International Conference on Robotics and Automation, 2009
To perform successful manipulation, robots depend on information about objects in their environment. In unstructured environments, such information cannot be given to the robot a priori. It is thus critical for the robot to be able to continuously acquire task-specific information about objects.
Jacqueline Kenney, Thomas Buckley, Oliver Brock   +2 more
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