Overview of Sensor Fusion Research at RDECOM NVESD & Recent Results on Vehicle Detection Using Multiple Sensor Nodes
Abstract
The US Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate has a dynamic applied research program in sensor fusion for a wide variety of defense & defense related applications. This paper provides an overview of the on going research at NVESD related to fusing a mixture of active and passive sensors for countermine, dismounted & mounted soldiers, aviation and unattended ground sensor applications. Highlighted are new techniques in image registration and sensor fusion ion that enable the detection of moving vehicles with a network of image and acoustic sensors. A set of experiments was designed and conducted using a variety of vehicles and scenarios. The incremental value (in terms of error probability) added to the acoustic information by the image sensors (visible and infrared wavelength cameras) is assessed in combination with the fusion techniques themselves. The approach specifically accounts for the effects of location, speed, weather, and background (acoustic, visible, and infrared). Sensor fusion for detection and classification is preformed 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. Keywords: Tracking, fusion, sensor fusion, vehicle detection, detection, location.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2003
- Accession Number
- ADP021702
Entities
People
- James Hilger
- Murry Loew
- Philip Perconti