Sökning: "monocular depth prediction"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden monocular depth prediction.

  1. 1. Camera Calibration for Zone Positioning and 2D-SLAM : Autonomous Warehouse Solutions for Toyota Material Handling

    Kandidat-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Benjamin Bolgakov; Anton Frank; [2023]
    Nyckelord :camera calibration; computer vision; SLAM; autonomous; navigation;

    Sammanfattning : The aim of this thesis is to investigate how well a generic monocular camera, placed on the vehicle, can be employed to localize an autonomous vehicle in a warehouse setting. The main function is to ascertain which zone the vehicle is currently in, as well as update the status when entering a new zone. LÄS MER

  3. 2. Unsupervised Learning for Structure from Motion

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Erik Örjehag; [2021]
    Nyckelord :sfm; structure from motion; depth; ego-motion; unsupervised learning; consensus maximization;

    Sammanfattning : Perception of depth, ego-motion and robust keypoints is critical for SLAM andstructure from motion applications. Neural networks have achieved great perfor-mance in perception tasks in recent years. But collecting labeled data for super-vised training is labor intensive and costly. LÄS MER

  4. 3. Monocular Depth Prediction in Deep Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Guanqian Tang; [2019]
    Nyckelord :Convolutional neural networks; monocular depth prediction; ResNet; DenseNet; ; Konvolutional neurala nätverk; monokulär djupförutsägelse; ResNet; DenseNet; ;

    Sammanfattning : With the development of artificial neural network (ANN), it has been introduced in more and more computer vision tasks. Convolutional neural networks (CNNs) are widely used in object detection, object tracking, and semantic segmentation, achieving great performance improvement than traditional algorithms. LÄS MER

  5. 4. Monocular Depth Estimation Using Deep Convolutional Neural Networks

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Susanna Larsson; [2019]
    Nyckelord :Depth estimation; depth maps; monocular SLAM; mono-SLAM; pixelwise depth prediction; encoder-decoder network;

    Sammanfattning : For a long time stereo-cameras have been deployed in visual Simultaneous Localization And Mapping (SLAM) systems to gain 3D information. Even though stereo-cameras show good performance, the main disadvantage is the complex and expensive hardware setup it requires, which limits the use of the system. LÄS MER

  7. 5. Improving deep monocular depth predictions using dense narrow field of view depth images

    Master-uppsats, KTH/Robotik, perception och lärande, RPL

    Författare :Christoffer Möckelind; [2018]
    Nyckelord :Deep learning; Monocular; Depth estimation; Narrow field of view; RGB; RGBD; Noicy depth; Dense depth; Narrow depth; Sparse depth;

    Sammanfattning : In this work we study a depth prediction problem where we provide a narrow field of view depth image and a wide field of view RGB image to a deep network tasked with predicting the depth for the entire RGB image. We show that by providing a narrow field of view depth image, we improve results for the area outside the provided depth compared to an earlier approach only utilizing a single RGB image for depth prediction. LÄS MER