A Rule-Based Fuzzy Safety Index for Landing Site Risk Assessmen

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/38467

Title: A Rule-Based Fuzzy Safety Index for Landing Site Risk Assessmen
Author: Howard, Ayanna M. ; Seraji, Homayoun
Abstract: This paper presents a fuzzy rule-based safety index that quantifies the ease-of-landing a spacecraft on a planetary surface based on sensor-derived measurements of terrain characteristics. These characteristics include, but are not limited to, slope and roughness. The proposed representation of terrain safety incorporates an intuitive, linguistic approach for expressing terrain characteristics that is robust with respect to imprecision and uncertainty in the sensor measurements. The risk assessment methodology is tested and validated with a set of simulated data. These tests demonstrate the capability of the algorithm for perceiving hazards associated with landing on a planetary surface.
Description: ©2002 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Presented at the 9th International Symposium on Robotics and Applications held within the 5th Biannual World Automation Congress , Orlando, FL, June 2002. DOI: 10.1109/WAC.2002.1049499
Type: Proceedings
URI: http://hdl.handle.net/1853/38467
ISBN: 1-889335-18-5
Citation: A. Howard, H. Seraji, “A Rule-Based Fuzzy Safety Index for Landing Site Risk Assessment,” 9th International Symposium on Robotics and Applications held within the 5th Biannual World Automation Congress , Orlando, FL, June 2002, 579-584.
Date: 2002-06
Contributor: Jet Propulsion Laboratory (U.S.)
Georgia Institute of Technology. Center for Robotics and Intelligent Machines
Publisher: Georgia Institute of Technology
Institute of Electrical and Electronics Engineers
Subject: Safe landing
Terrain analysis
Fuzzy logic

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