Data

Covariance data comparisons between alternate range finding systems - LIDAR Type 1 and Camera laser Type 2

Also known as: Covariance of LIDAR and IPM sensors
University of Technology Sydney
De La Villefromoy, Michel
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://hdl.handle.net/2100/1380&rft.title=Covariance data comparisons between alternate range finding systems - LIDAR Type 1 and Camera laser Type 2&rft.identifier=http://hdl.handle.net/2100/1380&rft.publisher=University of Technology Sydney&rft.description=This dataset compares the covariance error  associated with the use of different sensor systems both in isolation and in combination  specifically a LIDAR Type 1 system and  Type 2 Camera laser. The dataset is generated via player 3.0.2 in a custom  designed, configurable  maze environment integrated into a remotely accessible testbed implemented using the Sahara 3.2 remotelab management system. The LIDAR model is Hokoyo URG-04LX. The camera laser model is Logitech QuickCam Pro 9000. The dataset consists of a sequence of jpegs from robot mounted cameras on the rig and a 'log' file containing variables and payloads.This dataset compares the covariance error associated with the use of different sensor systems both in isolation and in combination  specifically  a LIDAR (Light Detection And Ranging) Type 1 system and Type 2 Camera laser generated using the Inverse Perspective Mapping algorithm.&rft.creator=De La Villefromoy, Michel &rft.date=2013&rft_rights=Copyright in source data is held by the content provider.&rft_subject=Control Systems, Robotics and Automation&rft_subject=ENGINEERING&rft_subject=ELECTRICAL AND ELECTRONIC ENGINEERING&rft_place=Sydney, Australia&rft.type=dataset&rft.language=English Access the data
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Brief description

This dataset compares the covariance error associated with the use of different sensor systems both in isolation and in combination  specifically  a LIDAR (Light Detection And Ranging) Type 1 system and Type 2 Camera laser generated using the Inverse Perspective Mapping algorithm.

Full description

This dataset compares the covariance error  associated with the use of different sensor systems both in isolation and in combination  specifically a LIDAR Type 1 system and  Type 2 Camera laser. The dataset is generated via player 3.0.2 in a custom 
designed, configurable  maze environment integrated into a remotely accessible testbed implemented using the Sahara 3.2 remotelab management system. The LIDAR model is Hokoyo URG-04LX. The camera laser model is Logitech QuickCam Pro 9000. The dataset consists of a sequence of jpegs from robot mounted cameras on the rig and a 'log' file containing variables and payloads.

Data time period: 2012-05-18 to 2012-05-18

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Control Systems, Robotics and Automation | Electrical and Electronic Engineering | Engineering |

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