Point Cloud Simulator for Space In-Orbit Close Range Autonomous Operations (original) (raw)

Hardware in the Loop Performance Assessment of LIDAR-Based Spacecraft Pose Determination

Roberto Opromolla

Sensors

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Autonomous satellite rendezvous and docking using lidar and model based vision

Stephen Sat Se

SPIE Proceedings, 2005

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Advanced LIDAR-based techniques for autonomous navigation of spaceborne and airborne platforms

Roberto Opromolla

2016

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Autonomous satellite rendezvous and docking using lidar and model based vision

Michael Greenspan

Spaceborne Sensors II, 2005

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Rapid Target-Aided Pose Estimation Using Simulated Lidar Data

Pierre Saint-Cyr, Chad English

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Intelligent LIDAR scanning region selection for satellite pose estimation

Kamran Shahid

Computer Vision and Image Understanding, 2007

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Data simulation of an airborne lidar system

Chulmin Jun

SPIE Proceedings, 2009

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Target Localization from 3D data for On-Orbit Autonomous Rendezvous & Docking

M. Anctil, Timothy Luu

2008 IEEE Aerospace Conference, 2008

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Uncooperative spacecraft relative navigation with LIDAR-based Unscented Kalman Filter

Roberto Opromolla

IEEE Access

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Robust Pose Estimation of Moving Objects Using Laser Camera Data for Autonomous Rendezvous & Docking

Farhad Aghili

2009

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FULL AUTOMATIC REGISTRATION OF LASER SCANNER POINT CLOUDS

Devrim Akca

In: Gruen, A., Kahmen, H. (Eds.), Optical 3-D Measurement Techniques VI, Zurich, Switzerland, September 22-25, vol. I, pp. 330-337., 2003

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Real-time 3D Pose Estimation Using Photogrammetry and Laser Based Geometrical Target Tracking for Autonomous Operation in Space

Sabry El-hakim

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Experimental Study of Spacecraft Pose Estimation Algorithm Using Vision-based Sensor

Sang-young Park

Journal of Astronomy and Space Sciences, 2018

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Analysis of Lidar Actuator System Influence on the Quality of Dense 3D Point Cloud Obtained with SLAM

Błażej Dębogórski

Sensors

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Full Automatic Registration of Laser Scanner Point Clouds, Optical 3D

Devrim Akca

2003

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LAREDO: LAunching, REndezvous and DOcking Simulation Tool

Gonzalo Garcia

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LIDAR-Based GNC for Planetary Landing: Simulation with PANGU

Valter Silva

2003

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Virtual Prototype for Robotics Applications: Laser Scanner Simulation with Adaptable Pattern

Jürgen Roßmann

International Journal of Simulation: Systems, Science & Technology, 2017

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Automated tracking for advanced satellite laser ranging systems

Jan McGarry

Proceedings of Spie the International Society For Optical Engineering, 1996

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Automatic integration of 3-D point clouds from UAS and airborne LiDAR platforms

Chris Hopkinson

Journal of Unmanned Vehicle Systems, 2017

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LIDAR to image coregistration on orbital data

Ara Nefian

2013 IEEE International Conference on Image Processing, 2013

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Motion and Parameter Estimation of Space Objects Using Laser-Vision Data

Farhad Aghili

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Development of a simulator for Airborne Altimetric LiDAR

Nishank Agrawal

iitk.ac.in

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Real-Time Dynamic Pose Estimation Systems in Space: Lessons Learned for System Design and Performance Evaluation

Aradhana Choudhuri, Pierre Saint-Cyr, Timothy Luu, Chad English

International Journal of Intelligent Control and Systems

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Small-footprint Laser Scanning Simulator for System Validation, Error Assessment, and Algorithm Development

Antero Kukko

Photogrammetric Engineering & Remote Sensing, 2009

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Real-Time Determination of Relative Position Between Satellites Using Laser Ranging

Sang-young Park

Journal of Astronomy and Space Sciences, 2012

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Automatic tracking initialization from TriDAR data for autonomous rendezvous & docking

Denis Laurendeau

2008

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Methodology of real-time 3D point cloud mapping with UAV lidar

Levent Candan, Elif Kacar

International Journal of Engineering and Geosciences, 2023

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Visual analytics of 3D LiDAR point clouds in robotics operating systems

Shuzlina Rahman

Bulletin of Electrical Engineering and Informatics, 2020

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Tracking Targets on the International Space Station using a Laser Scanner

Francois Blais

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17.- ● 2003 – "LIDAR-based GNC for planetary landing: simulation with PANGU", S. M. Parkes, M. Dunstan, D. Matthews, I. Martin and V. Silva, DASIA Data Systems in Aerospace, SP-352 (2003). Prague, Czech Republic, 2-6 June (CD Rom). ISSN: 1609 042X, ISBN: 92 9092 842 5, Our Ref: 03/C27.

Victor Silva (PhD)

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Simulation of simultaneous localization and mapping using 3D point cloud data

Shuzlina Rahman

Indonesian Journal of Electrical Engineering and Computer Science, 2019

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Nanosatellite maneuver planning for point cloud generation with a rangefinder

Bogdan Udrea

IEEE Transactions on Aerospace and Electronic Systems, 2015

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Automated tracking for advanced satellite laser ranging systems

John Degnan

Acquisition, Tracking, and Pointing X, 1996

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A practical method utilizing multi-spectral LiDAR to aid points cloud matching in SLAM

Eetu Puttonen

Satellite Navigation, 2020

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