Publications:Tracking of People in Paper Mill Warehouse Using Laser Range Sensor
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| Title | Tracking of People in Paper Mill Warehouse Using Laser Range Sensor |
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| Author | |
| Year | 2014 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | UKSim-AMSS Eighth European Modelling Symposium on Computer Modelling and Simulation, EMS 2014 |
| Conference | 2014 UKSim-AMSS 8th European Modelling Symposium, EMS 2014, Pisa, Italy, 21-23 October, 2014 |
| DOI | http://dx.doi.org/10.1109/EMS.2014.39 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:765936 |
| Abstract | In this paper a laser scanner based approach for simultaneous detection and tracking of people in an indoor environment is presented. The operation of an autonomous truck, for transporting paper reels in a dynamic environment shared with humans, is considered as the application setting for this work. Here, a human leg detection procedure and an Extended Kalman Filter (EKF) based tracking method are employed for real-time performance. Several experiments with different data sets collected from an autonomous forklift truck in a paper mill warehouse have been performed in an offline situation. The results show how the system is able to detect and track multiple moving people. ©2014 IEEE. |
