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Automatic Certification of Kalman Filters for Reliable Code GenerationAUTOFILTER is a tool for automatically deriving Kalman filter code from high-level declarative specifications of state estimation problems. It can generate code with a range of algorithmic characteristics and for several target platforms. The tool has been designed with reliability of the generated code in mind and is able to automatically certify that the code it generates is free from various error classes. Since documentation is an important part of software assurance, AUTOFILTER can also automatically generate various human-readable documents, containing both design and safety related information. We discuss how these features address software assurance standards such as DO-178B.
Document ID
20060015687
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Denney, Ewen
(NASA Ames Research Center Moffett Field, CA, United States)
Fischer, Bernd
(NASA Ames Research Center Moffett Field, CA, United States)
Schumann, Johann
(NASA Ames Research Center Moffett Field, CA, United States)
Richardson, Julian
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 23, 2013
Publication Date
January 1, 2005
Publication Information
ISBN: 0-7803-8870
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
Paper-1207
Meeting Information
Meeting: IEEE Aerospace 2005
Location: Big Sky, MT
Country: United States
Start Date: March 1, 2005
Sponsors: Institute of Electrical and Electronics Engineers
Distribution Limits
Public
Copyright
Other

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