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Vision and Learning for Deliberative Monocular Cluttered Flight
[article]
<span title="2014-11-24">2014</span>
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arXiv
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In this work we present the first implementation of receding horizon control, which is widely used in ground vehicles, with monocular vision as the only sensing mode for autonomous UAV flight in dense ...
in machine learning to showcase anytime budgeted cost-sensitive feature selection, and fast non-linear regression for monocular depth prediction. ...
This is motivated by our previous work [3] we used imitation learning to learn a purely reactive controller for flying a UAV using only monocular vision through dense clutter. ...
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Vision and Learning for Deliberative Monocular Cluttered Flight
[chapter]
<span title="">2016</span>
<i title="Springer International Publishing">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lirc5icuifhy7ln5rynpn4ak2e" style="color: black;">Springer Tracts in Advanced Robotics</a>
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learning to showcase anytime budgeted cost-sensitive feature selection, and fast non-linear regression for monocular depth prediction. ...
In this work we present the first implementation of receding horizon control, which is widely used in ground vehicles, with monocular vision as the only sensing mode for autonomous UAV flight in dense ...
This is motivated by our previous work [27] , where we used imitation learning to learn a purely reactive controller for flying a UAV using only monocular vision through dense clutter. ...
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Vision and Learning for Deliberative Monocular Cluttered Flight
<span title="2018-06-17">2018</span>
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In this work we present the first implementation of receding horizon control, which is widely used in ground vehicles, with monocular vision as the only sensing mode for autonomous UAV flight in dense ...
in machine learning to showcase anytime budgeted cost-sensitive feature selection, and fast non-linear regression for monocular depth prediction. ...
This is motivated by our previous work [3] we used imitation learning to learn a purely reactive controller for flying a UAV using only monocular vision through dense clutter. ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1184/r1/6561554">doi:10.1184/r1/6561554</a>
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Stereo vision-based obstacle avoidance for micro air vehicles using an egocylindrical image space representation
<span title="2016-05-25">2016</span>
<i title="SPIE">
Micro- and Nanotechnology Sensors, Systems, and Applications VIII
</i>
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SPIE 9836, ABSTRACT Micro air vehicles which operate autonomously at low altitude in cluttered environments require a method for onboard obstacle avoidance for safe operation. ...
Matthies, "Stereo vision-based obstacle avoidance for micro air vehicles using an egocylindrical image space representation," Proc. ...
There have been attempts to learn to infer depth from monocular visual appearance or to learn to invoke reactive obstacle avoidance behaviors from visual appearance features and optical flow. 6 Some ...
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Robust Monocular Flight in Cluttered Outdoor Environments
[article]
<span title="2016-04-16">2016</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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Due to payload and power constraints, it is necessary for such systems to have autonomous navigation and flight capabilities using mostly passive sensors such as cameras. ...
While autonomous navigation is fairly straight-forward for large UAVs as expensive sensors and monitoring devices can be employed, robust methods for obstacle avoidance remains a challenging task for MAVs ...
Existing approaches for monocular cluttered flight range from purely reactive approaches [33] that uses an imitation learning based framework for motion prediction to full planning-based approaches ...
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<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1604.04779v1">arXiv:1604.04779v1</a>
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Introspective Perception: Learning to Predict Failures in Vision Systems
[article]
<span title="2016-07-28">2016</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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We present this in the context of vision-based autonomous MAV flight in outdoor natural environments, and show that it effectively handles uncertain situations. ...
In this paper, we take a small step in this direction and propose a generic framework for introspective behavior in perception systems. ...
Consider the task of autonomously navigating a dense cluttered environment with a MAV using monocular vision. ...
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Semi-Dense Visual Odometry for Monocular Navigation in Cluttered Environment
<span title="2018-06-17">2018</span>
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Due to payload and power constraints it is necessary for such systems to have autonomous navigation and flight capabilites in highly dense and cluttered environments using only passive sensors such as ...
In this paper we describe a scale-aware monocular vision based semi-dense direct depth perception system that enables robust autonomous navigation of small agile MAVs at low altitude through natural forest ...
We develop and demonstrate a system that allow the MAVs to autonomously navigate through a cluttered natural environment using only passive monocular vision. ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1184/r1/6560831">doi:10.1184/r1/6560831</a>
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Event-based Vision: A Survey
<span title="2020-07-10">2020</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3px634ph3vhrtmtuip6xznraqi" style="color: black;">IEEE Transactions on Pattern Analysis and Machine Intelligence</a>
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Hence, event cameras have a large potential for robotics and computer vision in challenging scenarios for traditional cameras, such as low-latency, high speed, and high dynamic range. ...
We present event cameras from their working principle, the actual sensors that are available and the tasks that they have been used for, from low-level vision (feature detection and tracking, optic flow ...
With the rise of deep learning in frame-based computer vision, many have sought to leverage deep learning tools for event-based recognition, using back-propagation to learn features. ...
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Flying Fast and Low Among Obstacles: Methodology and Experiments
<span title="">2008</span>
<i title="SAGE Publications">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uhsvnr5ecvb4die3422lvgaz6q" style="color: black;">The international journal of robotics research</a>
</i>
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Safe autonomous flight is essential for widespread acceptance of aircraft that must fly close to the ground. ...
The collision avoidance method learns to avoid obstacles by observing the performance of a human operator. ...
his help with interfacing to the Ladar; Alan Touchberry, Tara Schesser and Robert Schley for help with experimentation; Mark Delouis for extraordinary piloting and maintenance skills; and Brad Looney ...
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Event-based Vision: A Survey
[article]
<span title="2020-02-26">2020</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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<span title="2019-04-17">2019</span>
<span class="release-stage" >pre-print</span>
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<span title="2020-08-08">2020</span>
<span class="release-stage">accepted</span>
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Hence, event cameras have a large potential for robotics and computer vision in challenging scenarios for traditional cameras, such as high speed and high dynamic range. ...
We present event cameras from their working principle, the actual sensors that are available and the tasks that they have been used for, from low-level vision (feature detection and tracking, optic flow ...
With the rise of deep learning in frame-based computer vision, many have sought to leverage deep learning tools for event-based recognition, using back-propagation to learn features. ...
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Robust Monocular Flight in Cluttered Outdoor Environments
<span title="2018-06-29">2018</span>
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Due to payload and power constraints, it is necessary for such systems to have autonomous navigation and flight capabilities using mostly passive sensors such as cameras. ...
While autonomous navigation is fairly straightforward for large UAVs as expensive sensors and monitoring devices can be employed, robust methods for obstacle avoidance remains a challenging task for MAVs ...
Existing approaches for monocular cluttered flight range from purely reactive approaches [33] that uses an imitation learning based framework for motion prediction to full planning-based approaches ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1184/r1/6560708.v1">doi:10.1184/r1/6560708.v1</a>
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Johnny: An Autonomous Service Robot for Domestic Environments
<span title="2011-07-28">2011</span>
<i title="Springer Nature">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j3lijnt6abap7pt7tsbut2pnum" style="color: black;">Journal of Intelligent and Robotic Systems</a>
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The results and lessons learned of these benchmarks are explained in more detail. ...
Johnny serves as a research and development platform to explore, develop and integrate capabilities required for real-world domestic service applications. ...
Siegen, and DAAD. ...
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Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review
<span title="">2021</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
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The paper also examines open challenges in indoor mobile robots and identifies potential futures for autonomous mobile robots. ...
Since it is difficult to find complete coverage of those topics in a single location, this article provides a guideline for researchers entering the field or for innovators in the mobile robotics sector ...
On the other hand, the reactive layer is an independent layer steering robot towards the planned track by the deliberative layer.
7) VISION SENSOR-BASED ALGORITHM Vision sensor-based algorithms are the ...
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Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs
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<span title="2021-10-30">2021</span>
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arXiv
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<span class="release-stage" >pre-print</span>
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A desirable feature for UAVs is the ability to navigate and perform tasks autonomously with least human interaction. ...
Distributed motion coordination methods of multi-UAV systems for flocking and 3D area coverage are developed. These methods offer good computational cost for large-scale systems. ...
the training/learning stage is. ...
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Visual Navigation for Mobile Robots: A Survey
<span title="2008-05-01">2008</span>
<i title="Springer Nature">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j3lijnt6abap7pt7tsbut2pnum" style="color: black;">Journal of Intelligent and Robotic Systems</a>
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Mobile robot vision-based navigation has been the source of countless research contributions, from the domains of both vision and control. ...
This survey presents those pieces of work, from the nineties until nowadays, which constitute a wide progress in visual navigation techniques for land, aerial and autonomous underwater vehicles. ...
We also thank Lucrecia Rallo Fabra for her diligence and for her expert corrections and suggestions. ...
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