Essays about: "monocular depth prediction"

Showing result 1 - 5 of 7 essays containing the words monocular depth prediction.

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

    University essay from Linköpings universitet/Institutionen för systemteknik

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

    Abstract : 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. READ MORE

  3. 2. Unsupervised Learning for Structure from Motion

    University essay from Linköpings universitet/Datorseende

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

    Abstract : 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. READ MORE

  4. 3. Monocular Depth Prediction in Deep Neural Networks

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

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

    Abstract : 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. READ MORE

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

    University essay from Linköpings universitet/Datorseende

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Robotik, perception och lärande, RPL

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

    Abstract : 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. READ MORE