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Sensor integration and data fusion
Journal of Robotic Systems, 1990AbstractThe problem of sensor integration and data fusion is addressed. We consider the problem of combining information from diversified sources in a coherent fashion. We assume that information from various sensors may be available in different forms at the fusion.
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2015
In the chapter on personnel detection, we talked about using multimodal and multi-sensor systems in order to attain a high probability of detection with fewer false alarms and high confidence in the decision process.
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In the chapter on personnel detection, we talked about using multimodal and multi-sensor systems in order to attain a high probability of detection with fewer false alarms and high confidence in the decision process.
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Ca2+ sensor-mediated ROS scavenging suppresses rice immunity and is exploited by a fungal effector
Cell, 2021Mingjun Gao, Xin Yin, Jin Chen
exaly
2006
The main contribution of this paper is to present a sensor fusion approach to scene environment mapping as part of a Sensor Data Fusion (SDF) architecture. This approach involves combined sonar array with stereo vision readings. Sonar readings are interpreted using probability density functions to the occupied and empty regions.
Plascencia, Alfredo, Stepán, Petr
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The main contribution of this paper is to present a sensor fusion approach to scene environment mapping as part of a Sensor Data Fusion (SDF) architecture. This approach involves combined sonar array with stereo vision readings. Sonar readings are interpreted using probability density functions to the occupied and empty regions.
Plascencia, Alfredo, Stepán, Petr
openaire +1 more source