Sökning: "monocular slam"
Visar resultat 6 - 10 av 29 uppsatser innehållade orden monocular slam.
6. 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
7. Implementation and Evaluation of Monocular SLAM
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : This thesis report aims to explain the research, implementation, and testing of a monocular SLAM system in an application developed by Voysys AB called Oden, as well as the making and investigation of a new data set used to test the SLAM system. Using CUDASIFT to find and match feature points, OpenCV to compute the initial guess, and the Ceres Solver to optimize the results. LÄS MER
8. 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
9. SLAM Hardware & Software optimization for mobile platform integration
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis work will focus on the optimization of a state-of-the-art monocular Visual-Inertial Odometry (VIO) algorithm for real-time application with limited resources on an embedded system. We will be using a multi-processor unit equipped with a Digital Signal Processor (DSP) to accelerate and offload tasks from the CPU. LÄS MER
10. Unsupervised Learning for Structure from Motion
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Perception of depth, ego-motion and robust keypoints is critical for SLAM andstructure from motion applications. Neural networks have achieved great perfor-mance in perception tasks in recent years. But collecting labeled data for super-vised training is labor intensive and costly. LÄS MER