Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus BASE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Sensor Data Fusion For Hazard Mapping And Piloting

Title: Sensor Data Fusion For Hazard Mapping And Piloting
Authors: Kanani, Keyvan; Brochard, Roland; Hennart, Florent; Pollini, Alexandre; Sturm, Peter; Dubois-Matra, Olivier; Vijendran, Sanjay
Contributors: Airbus Defence and Space Toulouse; Centre Suisse d'Electronique et Microtechnique SA (CSEM); Sustainability transition, environment, economy and local policy (STEEP); Inria Grenoble - Rhône-Alpes; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK); Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ); European Space Research and Technology Centre (ESTEC); Agence Spatiale Européenne = European Space Agency (ESA)
Source: 13th International Planetary Probe Workshop; https://inria.hal.science/hal-01396797; 13th International Planetary Probe Workshop, Jun 2016, Laurel, United States.; http://ippw2016.jhuapl.edu
Publisher Information: HAL CCSD
Publication Year: 2016
Collection: Université de Rennes 1: Publications scientifiques (HAL)
Subject Terms: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Subject Geographic: Laurel; United States
Description: International audience ; Autonomous landing on Mars, Moon or asteroids may require a Hazard Detection and Avoidance (HDA) system on-board the lander. Past studies on HDA dealt with the use of camera or LiDARs separately to detect dangerous slopes, boulders and shadow areas. The present work, performed in the frame of an ESA TRP, proposes to use jointly a camera and a LiDAR to take advantage of each while mitigating their drawbacks, consequently improving the HDA performances. Various algorithmic solutions and sensor configurations are proposed and tested in the Mars and asteroid landing cases.
Document Type: conference object; still image
Language: English
Availability: https://inria.hal.science/hal-01396797; https://inria.hal.science/hal-01396797v1/document; https://inria.hal.science/hal-01396797v1/file/fusion_poster_IPPW13_v3.pdf
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.57FA8762
Database: BASE