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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Duceux, G. Filliat, D. |
| Copyright Year | 2014 |
| Description | Author affiliation: Comput. Sci. & Syst. Eng. Lab., ENSTA ParisTech, Palaiseau, France (Duceux, G.; Filliat, D.) |
| Abstract | Using laser range finders has shown its efficiency to perform mapping and navigation for mobile robots. However, most of existing methods assume a mostly static world and filter away dynamic aspects while those dynamic aspects are often caused by non-stationary objects which may be important for the robot task. We propose an approach that makes it possible to detect, learn and recognize these objects through a multi-view model, using only a planar laser range finder. We show using a supervised approach that despite the limited information provided by the sensor, it is possible to recognize efficiently up to 22 different object, with a low computing cost while taking advantage of the large field of view of the sensor. We also propose an online, incremental and unsupervised approach that make it possible to continuously discover and learn all kind of dynamic elements encountered by the robot including people and objects. |
| Starting Page | 593 |
| Ending Page | 599 |
| File Size | 1700134 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781479969340 |
| DOI | 10.1109/IROS.2014.6942620 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot sensing systems Computational modeling Laser modes Trajectory Shape Three-dimensional displays |
| Content Type | Text |
| Resource Type | Article |
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