Paper
23 June 2000 Simulation of laser detection and ranging (LADAR) and forward-looking infrared (FLIR) data for autonomous tracking of airborne objects
Gavin Powell, Keith C. Markham, David Marshall
Author Affiliations +
Abstract
This paper presents the results of an investigation leading into an implementation of FLIR and LADAR data simulation for use in a multi sensor data fusion automated target recognition system. At present the main areas of application are in military environments but systems can easily be adapted to other areas such as security applications, robotics and autonomous cars. Recent developments have been away from traditional sensor modeling and toward modeling of features that are external to the system, such as atmosphere and part occlusion, to create a more realistic and rounded system. We have implemented such techniques and introduced a means of inserting these models into a highly detailed scene model to provide a rich data set for later processing. From our study and implementation we are able to embed sensor model components into a commercial graphics and animation package, along with object and terrain models, which can be easily used to create a more realistic sequence of images.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gavin Powell, Keith C. Markham, and David Marshall "Simulation of laser detection and ranging (LADAR) and forward-looking infrared (FLIR) data for autonomous tracking of airborne objects", Proc. SPIE 4026, Enabling Technology for Simulation Science IV, (23 June 2000); https://doi.org/10.1117/12.389389
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
LIDAR

Data modeling

Sensors

Modeling

Forward looking infrared

Solid modeling

3D modeling

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