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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fortin, B. Lherbier, R. Noyer, J.C. |
| Copyright Year | 2014 |
| Description | Author affiliation: LISIC, Univ. Littoral Cote d'Opale, Calais, France (Fortin, B.; Lherbier, R.; Noyer, J.C.) |
| Abstract | This paper presents a new method of multiple object tracking in a multisensor lidar context. One of the difficulties of scanning laser range finders (LRF) lies in the measurements of the objects since they are spatially distributed. We propose a tracking method (MF-IP-SMC), which uses the LRF data from a clustering stage (IP method) which avoids the usual detection step. This step is indeed source of detection problems or false alarm. The MF-IP-SMC approach is then validated on multilidar sequences of vehicles on road. A comparison with reference methods in vehicle tracking is then presented in order to quantify the contribution of the proposed solution. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1332485 |
| Page Count | 8 |
| File Format | |
| ISBN | 9788490123553 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-07 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | International Society of Information Fusion |
| Subject Keyword | Sensors Target tracking Vehicles Measurement by laser beam Radar tracking Laser fusion Atmospheric measurements scanning laser range finder extended target tracking sequential Monte Carlo methods track-before-detect multisensor fusion |
| Content Type | Text |
| Resource Type | Article |
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