Sökning: "objekt tracking"
Visar resultat 1 - 5 av 99 uppsatser innehållade orden objekt tracking.
1. Scenariohantering med parametrisk design i planeringsprocessen
Master-uppsats, Lunds universitet/Lantmäteri (CI); Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : In line with an increasing population and the ongoing digitization process, there is a need for an effective planning process. In Sweden, there are both national and international goals that concern this. Zoning plans are an important tool for regulating the planning process. LÄS MER
2. Comparing Gaze Cues: Avatars versus Humans in Allocating Visual Attention : Eye Tracking Case Study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : When designing websites or applications, being able to allocate visual attention to specific parts of an interface is important. One powerful tool that can be used for this is Gaze Cues, which is a social cue that makes use of gaze direction to allocate visual attention in the same direction. LÄS MER
3. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER
4. Arbitrary motion Synthetic Aperture Radar
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. LÄS MER
5. Image and RADAR fusion for autonomous vehicles
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such as LiDAR or RADAR are used to compute depth; each having its own advantages and drawbacks. LÄS MER