Human factors considerations of IR sensors for the Canadian Integrated Soldier System Project (ISSP)

Abstract

The Integrated Soldier System Project (ISSP) is the cornerstone of Canada's future soldier modernization effort, which seeks to "significantly enhance tactical level individual and team Lethality, Mobility and C4I performance in the complex, network-enabled, command-centric, effects-based digitized battlespace." This capital acquisition project is supported by a number of R&D Technology Demonstration Projects within Defence R&D Canada. Several of these projects focus on the human factors aspects of future technologies, such as IR sensors. The Soldier Information Requirements Technology Demonstration (SIREQ TD) project examined the performance impact of NVGs, LWIR imaging systems, and fused systems (both optical and digital fusion) on target detection, recognition and identification. NVGs were shown to provide good identification performance while LWIR systems excelled in detection tasks. Fused systems show promise of augmenting the respective stand alone capabilities of each sensor type, but more work is required to optimize fusion algorithms. The Soldier Integrated Headwear Technology Demonstration (SIHS TD) project is looking at the human factors aspects of mounting a range of vision enhancement sensors on a helmet, including optimal placement of both sensors and displays with respect to center of mass, total head borne weight, and visual offset and parallax issues. Overall headwear system weight should be less than 2.5 kg, and if an offset from the eye is required then a horizontal offset (vice vertical or oblique) of the sensor appears most acceptable. These findings have implications on the design of future IR and fused sensor systems for dismounted soldiers.

The TRICLOBS Dynamic Multi-Band Image Data Set for the Development and Evaluation of Image Fusion Methods

“…Image fusion has important applications for situational awareness [3], surveillance [22], target tracking [23], intelligence gathering [24], concealed weapon detection [25–30], detection of abandoned packages [31] and buried explosives [32], and face recognition [33, 34]. In the context of several allied Soldier Modernization Programs (SMPs), image fusion has significantly gained importance [19], particularly for application in head-borne systems [35–37]. Other important image fusion applications are found in industry, art analysis [38], agriculture [39], remote sensing [40–43], and medicine [44–47] (for a survey of different applications of image fusion techniques see [1, 48]).…”