Essays about: "RGB-D Vision"
Showing result 1 - 5 of 10 essays containing the words RGB-D Vision.
-
1. A Rule-based approach for detection of spatial object relations in images
University essay from Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)Abstract : Deep learning and Computer vision are becoming a part of everyday objects and machines. Involvement of artificial intelligence in human’s daily life open doors to new opportunities and research. READ MORE
-
2. Evaluation of Tree Planting using Computer Vision models YOLO and U-Net
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Efficient and environmentally responsible tree planting is crucial to sustainable land management. Tree planting processes involve significant machinery and labor, impacting efficiency and ecosystem health. In response, Södra Skogsägarna introduced the BraSatt initiative to develop an autonomous planting vehicle called E-Beaver. READ MORE
-
3. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. READ MORE
-
4. Boundary Guard for a Field Robot Based on Perception and Localization : A prototype on Husqvarna robotic lawn mower
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis we have developed from scratch a perception and localization system that bounds the robot within its operation area. The module is originally designed for a robotic lawn mower, but can be adapted to other differential-drive field robots with minor changes. READ MORE
-
5. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE