Essays about: "ORB-SLAM3"
Showing result 1 - 5 of 9 essays containing the word ORB-SLAM3.
-
1. 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
-
2. 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
-
3. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. READ MORE
-
4. Rolling shutter in feature-based Visual-SLAM : Robustness through rectification in a wearable and monocular context
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This thesis analyzes the impact of and implements compensation for rolling shutter distortions in the state-of-the-art feature-based visual SLAM system ORB-SLAM3. The compensation method involves rectifying the detected features, and the evaluation was conducted on the "Rolling-Shutter Visual-Inertial Odometry Dataset" from TUM, which comprises of ten sequences recorded with side-by-side synchronized global and rolling shutter cameras in a single room. READ MORE
-
5. Robustness of State-of-the-Art Visual Odometry and SLAM Systems
University essay from KTH/Tillämpad fysikAbstract : Visual(-Inertial) Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) are hot topics in Computer Vision today. These technologies have various applications, including robotics, autonomous driving, and virtual reality. They may also be valuable in studying human behavior and navigation through head-mounted visual systems. READ MORE