Hybrid estimation of navigation parameters from aerial image sequence

Dong-Gyu Sim, Sang-Yong Jeong, Doh-Hyeong Lee, Rae-Hong Park, Rin-Chul Kim, Sang Uk Lee, In Chul Kim
<span title="">1999</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dhlhr4jqkbcmdbua2ca45o7kru" style="color: black;">IEEE Transactions on Image Processing</a> </i> &nbsp;
This work presents a hybrid method for navigation parameter estimation using sequential aerial images, where navigation parameters represent the position and velocity information of an aircraft for autonomous navigation. The proposed hybrid system is composed of two parts: relative position estimation and absolute position estimation. Computer simulation with two different sets of real aerial image sequences shows the effectiveness of the proposed hybrid parameter estimation algorithm.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/83.748898">doi:10.1109/83.748898</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/18262886">pmid:18262886</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tqk3hfs2ibhfvicwahew6chfmq">fatcat:tqk3hfs2ibhfvicwahew6chfmq</a> </span>
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