Sökning: "Target Tracking"
Visar resultat 1 - 5 av 183 uppsatser innehållade orden Target Tracking.
1. Independent validation of a system for real-time localization of the prostate during motion tracking radiotherapy
Kandidat-uppsats, Lunds universitet/Fysiska institutionenSammanfattning : Intrafractional prostate motion during external beam radiotherapy of prostate tumors has been reported as a limiting factor in accurate treatment delivery. Technology for real-time image-guided radiotherapy has been introduced for tracking and for compensating prostate motion during treatment and could allow for reduced target margins. LÄS MER
2. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. LÄS MER
3. Eye-Movement Correlates of Pattern Separation in a Mnemonic Similarity Task Modified with Naturalistic Scenes
Master-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Pattern separation is one of the central operations of episodic memory. Tasks that evaluate the pattern separation usually base their assessments on the behavioral recall of simple objects or words and are far from real-life experiences and daily memory performance. Thus, typical tasks that assess pattern separation lack ecological validity. LÄS MER
4. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER
5. Lateral Control of Heavy Vehicles
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : The automotive industry has been involved in making vehicles autonomous to different levels in the past decade rapidly. Particularly in the commercial vehicle market, there is a significant necessity to make trucks have a certain level of automation to help reduce dependence on human efforts to drive. LÄS MER