Essays about: "tracking performance"
Showing result 11 - 15 of 489 essays containing the words tracking performance.
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11. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Today, a large number of devices with small form factors and limited resources are being integrated with processes to perform complex tasks such as localization and mapping. One example of this are headsets used for Extended Reality. READ MORE
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12. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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13. Lateral Control of Heavy Vehicles
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : 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. READ MORE
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14. Real-time Energy Performance Tracking
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. READ MORE
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15. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness
University essay from Linköpings universitet/DatorseendeAbstract : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. READ MORE