Abstract
This paper presents experimental results for building a dynamic environment model based on an occupancy grid, while detecting and tracking mobile objects using a particle filter. The principle is to represent all the objects in the robot’s environment as groups of cells; mobile groups such as people are distinguished from the fixed parts, they are not included in the built map, and their motion is tracked.
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Baba, A., Chatila, R. (2008). Experiments with Simultaneous Environment Mapping and Multi-target Tracking. In: Khatib, O., Kumar, V., Rus, D. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77457-0_19
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DOI: https://doi.org/10.1007/978-3-540-77457-0_19
Publisher Name: Springer, Berlin, Heidelberg
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