The US Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate (NVESD) has a dynamic applied research program in sensor fusion for a wide variety of defense & defense related applications. This paper highlights efforts under the NVESD Sensor Fusion Testbed (SFTB) in the area of detection of moving vehicles with a network of image and acoustic sensors. A sensor data collection was designed and conducted using a variety of vehicles. Data from this collection included signature data of the vehicles as well as moving scenarios. Sensor fusion for detection and classification is performed at both the sensor level and the feature level, providing a basis for making tradeoffs between performance desired and resources required. Several classifier types are examined (parametric, nonparametric, learning). The combination of their decisions is used to make the final decision.
Vehicle detection approaches using the NVESD Sensor Fusion Testbed
2003-01-01
616756 byte
Conference paper
Electronic Resource
English
Vehicle Detection Approaches Using the NVESD Sensor Fusion Testbed
British Library Conference Proceedings | 2004
|U. S. Army NVESD MWIR Polarization Research for Ground Targets
British Library Conference Proceedings | 2005
|Testbed to Evaluate New Approaches for STM
TIBKAT | 2020
|Charger-1: A Pulsed Fusion Propulsion Testbed
NTIS | 2012
|