Abstract
Mobile robots have a large application potential in industrial shop floors, improving the human action in this kind of environments. The productivity can be greatly increased while reducing cost, particularly for surface operations such as material transport, survey and sampling. In this paper a system able to follow a worker in an industrial environment based on information provided by a laser scan and a stereo camera is presented. In order to accomplish this goal, a probabilistic approach for human leg detection based on data provided by a laser scan is used, enhanced with an histogram based depth detector. The proposed approach also integrates tracking techniques as Kalman Filters to endow the system with an error recovering tool to be used in a real environment.
| Original language | English |
|---|---|
| Title of host publication | Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Proceedings |
| Pages | 508-517 |
| Number of pages | 10 |
| Edition | PART 3 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2010 - Cordoba, Spain Duration: 1 Jun 2010 → 4 Jun 2010 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 3 |
| Volume | 6098 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2010 |
|---|---|
| Country/Territory | Spain |
| City | Cordoba |
| Period | 1/06/10 → 4/06/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- human-robot interaction
- Mobile robotics
- sensor fusion
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