Sökning: "sensor fusion"
Visar resultat 1 - 5 av 74 avhandlingar innehållade orden sensor fusion.
1. Sensor Fusion for Automotive Applications
Detta är en avhandling från Linköping : Linköping University Electronic PressSammanfattning : Mapping stationary objects and tracking moving targets are essential for many autonomous functions in vehicles. In order to compute the map and track estimates, sensor measurements from radar, laser and camera are used together with the standard proprioceptive sensors present in a car. LÄS MER
2. Advances in sensor-controlled robotics : distributed multi-sensor data processing and the Linköping hand
Detta är en avhandling från Linköping : Linköpings universitetSammanfattning : Industrial robots are moronic machines capable only of mere point-to-point movements. If parts are slightly misplaced, or out of tolerance, smashup will result. To adapt the robot to its environment, sensors may be used. This will in turn cause new problems: which sensors should be used, how combine data from several disparate sources, etc. LÄS MER
3. Information Acquisition in Data Fusion Systems
Detta är en avhandling från Stockholm : Numerisk analys och datalogiSammanfattning : By purposefully utilising sensors, for instance by a datafusion system, the state of some system-relevant environmentmight be adequately assessed to support decision-making. Theever increasing access to sensors o.ers great opportunities,but alsoincurs grave challenges. As a result of managingmultiple sensors one can, e. LÄS MER
4. Large-Scale Information Acquisition for Data and Information Fusion
Detta är en avhandling från Stockholm : KTHSammanfattning : The purpose of information acquisition for data and information fusion is to provide relevant and timely information. The acquired information is integrated (or fused) to estimate the state of some environment. LÄS MER
5. Estimation for Sensor Fusion and Sparse Signal Processing
Detta är en avhandling från Stockholm : KTH Royal Institute of TechnologySammanfattning : Progressive developments in computing and sensor technologies during the past decades have enabled the formulation of increasingly advanced problems in statistical inference and signal processing. The thesis is concerned with statistical estimation methods, and is divided into three parts with focus on two different areas: sensor fusion and sparse signal processing. LÄS MER
