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Appearance-based Active, Monocular, Dense Reconstruction for Micro Aerial Vehicles

https://doi.org/10.15607/rss.2014.x.029

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Pattern Recognition and Machine Learning

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A Practical Guide to Splines

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Real-Time Dense Geometry from a Handheld Camera

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View Planning for Multi-View Stereo 3D Reconstruction Using an Autonomous Multicopter

inferredcites →https://doi.org/10.1007/s10846-011-9576-2openalex-snapshot

View Planning for Multi-View Stereo 3D Reconstruction Using an Autonomous Multicopter

inferredcites →https://doi.org/10.1016/j.imavis.2011.01.006openalex-snapshot

Video-based, real-time multi-view stereo

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Planning and acting in partially observable stochastic domains

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Autonomous exploration: driven by uncertainty

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Incremental estimation of dense depth maps from image sequences

inferredcites →https://doi.org/10.1109/cvpr.2012.6247833openalex-snapshot

Dense reconstruction on-the-fly

inferredcites →https://doi.org/10.1109/iccv.2009.5459468openalex-snapshot

Actionable information in vision

inferredcites →https://doi.org/10.1109/iccv.2011.6126513openalex-snapshot

DTAM: Dense tracking and mapping in real-time

inferredcites →https://doi.org/10.1109/icra.2011.5979947openalex-snapshot

A surface-based Next-Best-View approach for automated 3D model completion of unknown objects

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Occlusion-aware reconstruction and manipulation of 3D articulated objects

inferredcites →https://doi.org/10.1109/icra.2014.6906584openalex-snapshot

SVO: Fast semi-direct monocular visual odometry

inferredcites →https://doi.org/10.1109/icra.2014.6907233openalex-snapshot

REMODE: Probabilistic, monocular dense reconstruction in real time

inferredcites →https://doi.org/10.1109/irds.2002.1041446openalex-snapshot

Information based adaptive robotic exploration

inferredcites →https://doi.org/10.1109/robot.2005.1570193openalex-snapshot

Global A-Optimal Robot Exploration in SLAM

inferredcites →https://doi.org/10.1109/robot.2005.1570261openalex-snapshot

Multi-Step Look-Ahead Trajectory Planning in SLAM: Possibility and Necessity

inferredcites →https://doi.org/10.1109/taes.2008.4517003openalex-snapshot

Observability analysis and active control for airborne SLAM

inferredcites →https://doi.org/10.1109/tpami.2002.1017615openalex-snapshot

Simultaneous localization and map-building using active vision

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Action Selection for Single-Camera SLAM

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Book Review: Pattern Recognition and Machine Learning

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View planning for automated three-dimensional object reconstruction and inspection

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Active vision in robotic systems: A survey of recent developments

inferredcites →https://doi.org/10.1177/02783649922066484openalex-snapshot

Adaptive Mobile Robot Navigation and Mapping

inferredcites →https://doi.org/10.15607/rss.2005.i.009openalex-snapshot

Information Gain-based Exploration Using Rao-Blackwellized Particle Filters

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Pattern recognition and machine learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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References

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Autonomous, Vision‐based Flight and Live Dense 3D Mapping with a Quadrotor Micro Aerial Vehicle

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Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping

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Contributions to active visual estimation and control of robotic systems

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