Essays about: "Simultaneous Localization and Mapping SLAM"

Showing result 1 - 5 of 74 essays containing the words Simultaneous Localization and Mapping SLAM.

1. 1. Automatic Semantic Segmentation of Indoor Datasets

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Sai Swaroop Rachakonda; [2024]
   Keywords : Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

   Abstract : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. READ MORE

3. 2. Movement Estimation with SLAM through Multimodal Sensor Fusion

   University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Author : Jimmy Cedervall Lamin; [2024]
   Keywords : slam; discrete-slam; continuous-slam; synchronous; asynchronous; computer vision; BRISK; opencv; ceres; visual; inertial; sensor fusion; multimodal; Simultaneous Localization and Mapping; time offset; pose estimation; quaternions; movement estimation;

   Abstract : In the field of robotics and self-navigation, Simultaneous Localization and Mapping (SLAM) is a technique crucial for estimating poses while concurrently creating a map of the environment. Robotics applications often rely on various sensors for pose estimation, including cameras, inertial measurement units (IMUs), and more. READ MORE

4. 3. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Herman Blenneros; [2023]
   Keywords : Visual localization and mapping; Runtime-control; Resource-constrained devices; Bildbaserad lokalisering och kartläggning; Realtidsreglering; Resursbegränsade enheter;

   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

5. 4. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness

   University essay from Linköpings universitet/Datorseende

   Author : Daniel Bladh; [2023]
   Keywords : Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

   Abstract : 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

6. 5. Evaluation of SLAM based mobile laser scanning and terrestrial laser scanning in the Kiruna mine : A comparison between the Emesent Hovermap HF1 mobile laser scanner and the Faro Laser Scanner Focus3D X 330 terrestrial laser scanner

   University essay from Högskolan i Gävle/Samhällsbyggnad

   Author : Claes Gustafsson; [2023]
   Keywords : Terrestrial laser scanning; mobile laser scanning; simultaneous localization and mapping; underground mapping; Kiruna mine.;

   Abstract : The mining industry has over the last few decades seen a drastic increase in the usage of laser scanning technologies as a way of creating 3D maps of the mines being exploited. Underground mapping in places such as mines has become more prevalent as the technology has progressed and made it easier to generate highly detailed point clouds faster. READ MORE