Sökning: "Kalle Åström"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Kalle Åström.
1. A new kernel method for object recognition:spin glass-Markov random fields
Sammanfattning : Recognizing objects through vision is an important part of our lives: we recognize people when we talk to them, we recognize our cup on the breakfast table, our car in a parking lot, and so on. While this task is performed with great accuracy and apparently little effort by humans, it is still unclear how this performance is achieved. LÄS MER
2. Global Pose Estimation from Aerial Images : Registration with Elevation Models
Sammanfattning : Over the last decade, the use of unmanned aerial vehicles (UAVs) has increased drastically. Originally, the use of these aircraft was mainly military, but today many civil applications have emerged. LÄS MER
3. Ground Object Recognition using Laser Radar Data : Geometric Fitting, Performance Analysis, and Applications
Sammanfattning : This thesis concerns detection and recognition of ground object using data from laser radar systems. Typical ground objects are vehicles and land mines. For these objects, the orientation and articulation are unknown. The objects are placed in natural or urban areas where the background is unstructured and complex. LÄS MER
4. Approximative Uncertainty in Neural Network Predictions
Sammanfattning : Suppose data-driven black-box models, e.g., neural networks, should be used as components in safety-critical systems such as autonomous vehicles. In that case, knowing how uncertain they are in their predictions is crucial. LÄS MER
5. Drill Failure Detection based on Sound using Artificial Intelligence
Sammanfattning : In industry, it is crucial to be able to detect damage or abnormal behavior in machines. A machine's downtime can be minimized by detecting and repairing faulty components of the machine as early as possible. It is, however, economically inefficient and labor-intensive to detect machine fault sounds manual. LÄS MER