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CIRA
2007
IEEE

Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection

12 years 25 days ago
Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it possible for robots to better communicate information to a human operator and vice versa. The main contribution of this paper is a method that fuses data from different sensor modalities, range sensors and vision sensors are considered, to create a probabilistic semantic map of an outdoor environment. The method combines a learned virtual sensor (understood as one or several physical sensors with a dedicated signal processing unit for recognition of real world concepts) for building detection with a standard occupancy map. The virtual sensor is applied on a mobile robot, combining classifications of sub-images from a panoramic view with spatial information (location and orientation of the robot) giving the likely locations of buildings. This information is combined with an occupancy map to calculate a probabilis...
Martin Persson, Tom Duckett, Christoffer Valgren,
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where CIRA
Authors Martin Persson, Tom Duckett, Christoffer Valgren, Achim J. Lilienthal
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