Quantifying Safety of Laser-Based Navigation

被引：10
作者：
Joerger, Mathieu [1 ]
Pervan, Boris [2 ]
机构：
[1] Univ Arizona, Aerosp & Mech Engn, Tucson, AZ 85721 USA
[2] IIT, Mech & Aerosp Engn, Chicago, IL 60616 USA
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2019年 / 55卷 / 01期
基金：
美国国家科学基金会;
关键词：
DATA ASSOCIATION; LOCALIZATION;
D O I：
10.1109/TAES.2018.2850381
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
In this paper, a new safety risk evaluation method is developed, simulated, and tested for laser-based navigation algorithms using feature extraction (FE) and data association (DA). First, at FE, we establish a probabilistic measure of separation between features to quantify the sensor's ability to distinguish landmarks. Then, an innovation-based DA process is designed to evaluate the impact on integrity risk of incorrect associations, while considering all potential measurement permutations. The algorithm is analyzed and tested in a structured environment.
引用
收藏
页码：273 / 288
页数：16
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