Sökning: "vision navigation"
Visar resultat 11 - 15 av 83 uppsatser innehållade orden vision navigation.
11. Camera Calibration for Zone Positioning and 2D-SLAM : Autonomous Warehouse Solutions for Toyota Material Handling
Kandidat-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : The aim of this thesis is to investigate how well a generic monocular camera, placed on the vehicle, can be employed to localize an autonomous vehicle in a warehouse setting. The main function is to ascertain which zone the vehicle is currently in, as well as update the status when entering a new zone. LÄS MER
12. Localization of Combat Aircraft at High Altitude using Visual Odometry
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Most of the navigation systems used in today’s aircraft rely on Global Navigation Satellite Systems (GNSS). However, GNSS is not fully reliable. For example, it can be jammed by attacks on the space or ground segments of the system or denied at inaccessible areas. LÄS MER
13. Den spontana resan : Vägledning genom taktilitet, färg & kontrast – för personer med ledsyn.
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Denna studie är en kandidatuppsats inom området Informationsdesign med fokus på rumslig gestaltning. Arbetet syftar till att undersöka hur man kan underlätta den självständiga navigeringen i vår offentliga miljö för personer med synnedsättning. LÄS MER
14. Efficiency of synthetic vision in simple scenarios
Kandidat-uppsats, KTH/DatavetenskapSammanfattning : Modern crowd simulation models can display a range of different properties, such as realism, efficiency, or emergent self-organizing patterns. These properties often vary by the specific situation that the model is used in. A model can be realistic when used in one scenario and break down completely in another scenario. LÄS MER
15. Guardrail detection for landmark-based localization
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : A requirement for safe autonomous driving is to have an accurate global localization of the ego vehicle. Methods based on Global Navigation Satellite System (GNSS) are the most common but are not precise enough in areas without good satellite signals. Instead, methods likelandmark-based localization (LBL) can be used. LÄS MER