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Experiments In Autonomous Navigation

Proceedings of the IEEE International Workshop on Intelligent Motion Control, 2002
The problem of goal-oriented navigation of an autonomous robot vehicle through a partially modeled unchanging environment which contains no unmodeled obstacles is discussed. This simplified environment provides a foundation for research in more complicated domains.
C. Fennema, A.R. Hanson
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Optic Flow and Autonomous Navigation

Perception, 1995
Many animals, especially insects, compute and use optic flow to control their motion direction and to avoid obstacles. Recent advances in computer vision have shown that an adequate optic flow can be computed from image sequences. Therefore studying whether artificial systems, such as robots, can use optic flow for similar purposes is of particular ...
CAMPANI M, GIACHETTI A, TORRE V
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Autonomous Rover Navigation

SAE Technical Paper Series, 2003
<div class="htmlview paragraph">This paper describes the work done in autonomous operation of mobile robot at the Canadian Space Agency. The <i>Mobile Robotic Test</i> bed (MRT) components are presented. The autonomy software, implemented using a behaviour-based approach, is presented.
Pierre Allard   +4 more
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Phenobot3.0 - Autonomous navigation

2023
Phenobot is a four-wheeled field robot driven through the field to capture crop details or characteristics, typically known as phenotype. Currently, the robot is driven manually using a remote controller to move it between the crop row (width of 30 inches).
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Mars Rover Autonomous Navigation

Autonomous Robots, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Autonomous Vehicle Navigation

1986
Abstract : The research conducted on the contract was concerned with image understanding techniques applicable to autonomous vehicle navigation. Abstracts of 36 technical reports issued on the project are given. Topics include: Time- varying image analysis and optical flow; stereo, including dynamic stereo and binocular optical flow; Range sensing and ...
Lary S. Davis, Azriel Rosenfeld
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Risk-aware autonomous navigation

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 2021
To function at the same operational tempo as human teammates on the battlefield in a robust and resilient manner, autonomous systems must assess and manage risk as it pertains to vehicle navigation. Risk comes in multiple forms, associated with both specific and uncertain terrains, environmental conditions, and nearby actors. In this work, we present a
Yewteck Tan   +8 more
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Terrain-Aware Autonomous Navigation

2021
Autonomous ground vehicles (AGVs) are considered to be critical for the future of the military. As military vehicles often need to operate with high mobility, even on off-road deformable terrains, AGVs need to meet the same requirements. However, current navigation strategies hinder the application of AGVs.
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Autonomous Ship Navigation System

2013 Texas Instruments India Educators' Conference, 2013
The project aims at developing a prototype boat that is capable of autonomously sailing and navigating its way through obstacles present around it. Apart from moving on a pre defined path the boat can intelligently avoid obstacles in the path through its ability of decision making using fuzzy logic.
Shashank Garg   +2 more
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"OXNAV": reliable autonomous navigation

Proceedings of 1995 IEEE International Conference on Robotics and Automation, 2002
A novel Kalman filter based sonar navigation system is presented that utilises directed sensing techniques to achieve continuous indoor localisation of a mobile robot. Data from extensive trials is summarised demonstrating continuous, reliable, localisation using this system in a wide variety of active industrial sites.
A. Stevens, M. Stevens, H. Durrant-Whyte
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