India orientalis

Julkaisussa: Geografia cioè descrittione universale della terra : partita in due volumi

A map of Marco Polo's voyages & travels in the 13th century through a great part of Asia, all Tartary, the East India islands & part of Africa

Nimeketiedot nimiönkehyksissä

India intra Gangem

Julkaisussa: Cl. Ptolemaei Alexandrini, geographiae libri octo

India extra Gangem

Julkaisussa: Cl. Ptolemaei Alexandrini, geographiae libri octo

India extra Gangem, Sina regio

Julkaisussa: Cosmographia : impressum Ulme opera et expensis justi de Albano de Venetiis per provisorem

India extrema XIX : nova tabula

Julkaisussa: Geographia universalis, vetus et nova, complectens Claudii Ptolemaei Alexandrini enarrationis libros VIII

Insula D. Helenae sacra coeli clementia et aequabilitate soli ubertate et aquarum salubritate nulli secunda sed inhabitata; hic receptus navium ex Or. India redentium sita in altitudine 16. graduum ad austrum lineae aequinoctialis

Julkaisussa: Itinerarium ofte schip-vaert naer oost ofte Portugaels Indien

India extra Gangem, Sina regio

Julkaisussa: Cosmographia : Claudii Ptolomei viri Alexandrini cosmographie octavus et ultimus liber explicit

India intra Gangem

Julkaisussa: Cosmographia : Claudii Ptolomei viri Alexandrini cosmographie octavus et ultimus liber explicit

Factors affecting the snow and wind induced damage of a montane secondary forest in northeastern China

Abstract

Mobile robot localization using sonar ranging and wlan intensity maps

 Main goal of this thesis was to implement a localization system which uses sonars and WLAN intensity maps to localize an indoor mobile robot. A probabilistic localization method, Monte Carlo Localization is used in localization. Also the theory behind probabilistic localization is explained. Two main problems in mobile robotics, path tracking and global localization, are solved in this thesis. Implemented system can achieve acceptable performance in path tracking. Global localization using WLAN received signal strength information is shown to provide good results, which can be used to localize the robot accurately, but also some bad results, which are no use when trying to localize the robot to the correct place. Main goal of solving ambiguity in office like environment is achieved in many test cases.