Essays about: "I CAMERA"
Showing result 1 - 5 of 717 essays containing the words I CAMERA.
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1. Radar and sea clutter simulation with Unity 3D game engine
University essay from Linköpings universitet/Programvara och systemAbstract : Game engines are well known for their use in the gaming industry but are starting to have an impact in other areas as well. Architecture, automotive, and the defence industry are today using these engines to visualise and, to some extent, test their products. READ MORE
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2. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction
University essay from Lunds universitet/Matematik LTHAbstract : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. READ MORE
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3. 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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4. Research of appropriate luminance level of monitor screens in workplace
University essay from Högskolan Dalarna/InformatikAbstract : MÅL: Huvudsyftet med den här studien är att undersöka hur naturligt ljus påverkar det mänskliga ögats preferens för skärmens ljusstyrka när man tittar på en datorskärm. METODER: Tre experiment genomförs för att mäta i vilken utsträckning solljus förändrar bakgrundsljuset i form av solstrålning. READ MORE
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5. 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