Sökning: "Camera planning"
Visar resultat 1 - 5 av 71 uppsatser innehållade orden Camera planning.
1. Habitat use and activity patterns of three Eulemur species in the forest and restoration areas of Ranomafana and Ankafobe, Madagascar
Master-uppsats, SLU/Dept. of Wildlife, Fish and Environmental StudiesSammanfattning : Anthropogenic deforestation is a major threat to forest environments, as it leads to habitat loss and fragmentation. Many species suffer from these consequences due to reduced resource availability or connectivity. Forests in Madagascar have drastically been reduced in the past few centuries. LÄS MER
2. A hierarchical neural network approach to learning sensor planning and control
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/DatorteknikSammanfattning : The ability to search their environment is one of the most fundamental skills for any living creature. Visual search in particular is abundantly common for almost all animals. LÄS MER
3. MmWave Radar-based Deep Learning Collision Prediction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. LÄS MER
4. Mobile and Mounting Solutions for a Multi-Camera Rig for Live Recordings of Open Heart Surgery
Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : At the Children’s Heart Center of Skåne University Hospital (BUS) there is an ongoing project with live recordings of open heart surgeries. These recordings will be used for educational purposes, for planning of future surgeries, as well as for evaluating the surgical procedures. LÄS MER
5. Velocity Obstacle method adapted for Dynamic Window Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER