A summary of the SIGHT project - Evaluation of sensors for obstacle detection
Mobile machinery in forestry, mining and construction, need the ability to detect obstacles in their surroundings. By detecting and then avoid these obstacles, safety will be increased both for the operator of the machine and for the people in the risk area. Also, it allows groups of autonomous vehi...
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ftrise:oai:DiVA.org:ri-32412 2023-05-15T17:09:09+02:00 A summary of the SIGHT project - Evaluation of sensors for obstacle detection Söderberg, Andreas Jacobson, Jan Andreasson, Henrik 2017 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-32412 eng eng Elektronik Örebro University, Sweden RISE Rapport 2017:46 http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-32412 urn:isbn:978-91-88695-10-9 info:eu-repo/semantics/openAccess Natural Sciences Naturvetenskap Report info:eu-repo/semantics/report text 2017 ftrise 2021-11-14T14:51:21Z Mobile machinery in forestry, mining and construction, need the ability to detect obstacles in their surroundings. By detecting and then avoid these obstacles, safety will be increased both for the operator of the machine and for the people in the risk area. Also, it allows groups of autonomous vehicles to interact with each other in an unpredictable environment. An increased level of automation also means more efficient production, reduces vehicle wear and reduced fuel consumption. Atlas Copco Rock Drills, Komatsu Forest and Volvo CE, together with Örebro University, Luleå University of Technology, SP Technical Research Institute, Robotdalen and Association Heavy Vehicles, cooperates in this project to evaluate the sensors with the goal of creating the machine ability Obstacle detection. A single sensor alone is not expected to fulfil the safety requirements. Research is needed to develop sensor systems - combination of two or more sensor technologies. Report Luleå Luleå Luleå RISE - Research Institutes of Sweden: Publications (DiVA) |
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Open Polar |
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RISE - Research Institutes of Sweden: Publications (DiVA) |
op_collection_id |
ftrise |
language |
English |
topic |
Natural Sciences Naturvetenskap |
spellingShingle |
Natural Sciences Naturvetenskap Söderberg, Andreas Jacobson, Jan Andreasson, Henrik A summary of the SIGHT project - Evaluation of sensors for obstacle detection |
topic_facet |
Natural Sciences Naturvetenskap |
description |
Mobile machinery in forestry, mining and construction, need the ability to detect obstacles in their surroundings. By detecting and then avoid these obstacles, safety will be increased both for the operator of the machine and for the people in the risk area. Also, it allows groups of autonomous vehicles to interact with each other in an unpredictable environment. An increased level of automation also means more efficient production, reduces vehicle wear and reduced fuel consumption. Atlas Copco Rock Drills, Komatsu Forest and Volvo CE, together with Örebro University, Luleå University of Technology, SP Technical Research Institute, Robotdalen and Association Heavy Vehicles, cooperates in this project to evaluate the sensors with the goal of creating the machine ability Obstacle detection. A single sensor alone is not expected to fulfil the safety requirements. Research is needed to develop sensor systems - combination of two or more sensor technologies. |
format |
Report |
author |
Söderberg, Andreas Jacobson, Jan Andreasson, Henrik |
author_facet |
Söderberg, Andreas Jacobson, Jan Andreasson, Henrik |
author_sort |
Söderberg, Andreas |
title |
A summary of the SIGHT project - Evaluation of sensors for obstacle detection |
title_short |
A summary of the SIGHT project - Evaluation of sensors for obstacle detection |
title_full |
A summary of the SIGHT project - Evaluation of sensors for obstacle detection |
title_fullStr |
A summary of the SIGHT project - Evaluation of sensors for obstacle detection |
title_full_unstemmed |
A summary of the SIGHT project - Evaluation of sensors for obstacle detection |
title_sort |
summary of the sight project - evaluation of sensors for obstacle detection |
publisher |
Elektronik |
publishDate |
2017 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-32412 |
genre |
Luleå Luleå Luleå |
genre_facet |
Luleå Luleå Luleå |
op_relation |
RISE Rapport 2017:46 http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-32412 urn:isbn:978-91-88695-10-9 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766065096169095168 |