Use of Information From the Digital Elevation Model in Autonomous Air Navigation Based on Image Odometry
Author:
Affiliation:
1. Department of GeoIntelligence, IEAv, São José dos Campos, Brazil
2. IEAv, São José dos Campos, Brazil
3. ITA, São José dos Campos, Brazil
Funder
“Projetos dos Cenários Futuros de Domínio Aéreo (Grupo de Alto Nível—Cooperação Brasil-Suécia em Aeronáutica)”
“Processamento de Imagens em Tempo Real para Navegação Aérea Autônoma Noturna, com utilização de Alto Desempenho”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/8859/10365397/10574525.pdf?arnumber=10574525
Reference32 articles.
1. A monocular vision localization algorithm based on maximum likelihood estimation
2. Survey on Computer Vision for UAVs: Current Developments and Trends
3. Real-time stereo-vision localization system for safe landing of unmanned aerial vehicles
4. Ultra low-power visual odometry for nano-scale unmanned aerial vehicles
5. Model-Based Global Localization for Aerial Robots Using Edge Alignment
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