Introduction
Sensor Data Fusion techniques provide higher-level information by spatio-temporal data integration, the exploitation of redundant and complementary information, and the available context. Important applications exist in logistics, advanced driver assistance systems, medical care, public security, defence, aerospace, robotics, industrial production, precision agriculture, trac monitoring, sensor positioning, and resource management.
Call for paper
Submission Topics
Key Aspects:
-
Distributed sensor fusion in complex scenarios
-
Fusion of heterogeneous sensor information
-
Exploitation of non-sensor context knowledge
-
Artificial Intelligence of autonomous systems
-
Risk analysis / data driven sensor management
All Comments
Important Date
-
Conference Date
Oct 10
2017
toOct 12
2017
-
Oct 12 2017
Registration deadline
Contact Information
Submit Comment