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dc.contributor | Institut de Robòtica i Informàtica Industrial |
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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.contributor | Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents |
dc.contributor.author | Vaquero Gómez, Víctor |
dc.contributor.author | Repiso Polo, Ely |
dc.contributor.author | Sanfeliu Cortés, Alberto |
dc.contributor.author | Vissers, John |
dc.contributor.author | Kwakkernaat, Maurice |
dc.date | 2015 |
dc.identifier.citation | Vaquero, V., Repiso, E., Sanfeliu, A., Vissers, J., Kwakkernaat, M. Low cost, robust and real time system for detecting and tracking moving objects to automate cargo handling in port terminals. A: Iberian Robotics Conference. "Robot 2015: Second Iberian Robotics Conference". Lisboa: Springer, 2015, p. 491-502. |
dc.identifier.citation | 978-3-319-27149-1 |
dc.identifier.citation | 10.1007/978-3-319-27149-1_38 |
dc.identifier.uri | http://hdl.handle.net/2117/84497 |
dc.description.abstract | The presented paper addresses the problem of detecting and tracking moving objects for autonomous cargo handling in port terminals using a perception system which input data is a single layer laser scanner. A computationally low cost and robust Detection and Tracking Moving Objects (DATMO) algorithm is presented to be used in autonomous guided vehicles and autonomous trucks for efficient transportation of cargo in ports. The method first detects moving objects and then tracks them, taking into account that in port terminals the structure of the environment is formed by containers and that the moving objects can be trucks, AGV, cars, straddle carriers and people among others. Two approaches of the DATMO system have been tested, the first one is oriented to detect moving obstacles and focused on tracking and filtering those detections; and the second one is focused on keepking targets when no detections are provided. The system has been evaluated with real data obtained in the CTT port terminal in Hengelo, the Netherlands. Both methods have been tested in the dataset with good results in tracking moving objects. |
dc.description.abstract | Peer Reviewed |
dc.language.iso | eng |
dc.publisher | Springer |
dc.relation | https://link.springer.com/chapter/10.1007/978-3-319-27149-1_38 |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/605598/EU/Cargo handling by Automated Next generation Transportation Systems for ports and terminals/CARGO-ANTS |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Robòtica |
dc.subject | feature extraction |
dc.subject | mobile robots |
dc.subject | object detection |
dc.subject | object detection |
dc.subject | object tracking |
dc.subject | DATMO |
dc.subject | multi-hypothesis tracking |
dc.subject | autonomous driving |
dc.subject | autonomous transportation of cargo |
dc.subject | Classificació INSPEC::Automation::Robots::Mobile robots |
dc.title | Low cost, robust and real time system for detecting and tracking moving objects to automate cargo handling in port terminals |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |