Sökning: "long-term localization"
Visar resultat 1 - 5 av 54 avhandlingar innehållade orden long-term localization.
1. Long-Term Localization for Self-Driving Cars
Sammanfattning : Long-term localization is hard due to changing conditions, while relative localization within time sequences is much easier. To achieve long-term localization in a sequential setting, such as, for self-driving cars, relative localization should be used to the fullest extent, whenever possible. LÄS MER
2. Otosclerosis; clinical long term-perspectives
Sammanfattning : This thesis has assessed medical, technical and health-related aspects of otosclerosis from a long-term perspective. A retrospective clinical study was performed where 65 subjects who had previously undergone stapedectomy (1977-1979) were assessed. Twenty-eight - Thirty years later a follow-up was conducted. LÄS MER
3. Back pain : long-term course and predictive factors
Sammanfattning : Background. Better knowledge of the long-term course in patients treated in primary care for back pain (clinical course) and in patients that do not receive specific treatment after seeking care (clinical natural course) is needed to enable health professionals and their patients to understand the likely course of back pain and to make clinical decisions about treatment alternatives. LÄS MER
4. Towards Robust Visual Localization in Challenging Conditions
Sammanfattning : Visual localization is a fundamental problem in computer vision, with a multitude of applications in robotics, augmented reality and structure-from-motion. The basic problem is to, based on one or more images, figure out the position and orientation of the camera which captured these images relative to some model of the environment. LÄS MER
5. Towards Robust Visual Localization in Challenging Conditions
Sammanfattning : Visual localization is a fundamental problem in computer vision, with a multitude of applications in robotics, augmented reality and structure-from-motion. The basic problem is to, based on one or more images, figure out the position and orientation of the camera which captured these images relative to some model of the environment. LÄS MER