Essays about: "stereo vision"
Showing result 11 - 15 of 66 essays containing the words stereo vision.
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11. Fusing Stereo Measurements into a Global 3D Representation
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : The report describes the thesis project with the aim of fusing an arbitrary sequence of stereo measurements into a global 3D representation in real-time. The proposed method involves an octree-based signed distance function for representing the 3D environment, where the geomtric data is fused together using a cumulative weighted update function, and finally rendered by incremental mesh extraction using the marching cubes algorithm. READ MORE
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12. Towards Visual-Inertial SLAM for Dynamic Environments Using Instance Segmentation and Dense Optical Flow
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Dynamic environments pose an open problem for the performance of visual SLAM systems in real-life scenarios. Such environments involve dynamic objects that can cause pose estimation errors. READ MORE
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13. Deep Reinforcement Learning for Complete Coverage Path Planning in Unknown Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Mobile robots must operate autonomously, often in unknown and unstructured environments. To achieve this objective, a robot must be able to correctly per- ceive its environment, plan its path, and move around safely, without human su- pervision. Navigation from an initial position to a target location has been a chal- lenging problem in robotics. READ MORE
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14. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. READ MORE
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15. Active Stereo Reconstruction using Deep Learning
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Depth estimation using stereo images is an important task in many computer vision applications. A stereo camera contains two image sensors that observe the scene from slightly different viewpoints, making it possible to find the depth of the scene. An active stereo camera also uses a laser projector that projects a pattern into the scene. READ MORE
