Sökning: "mono depth"

Hittade 5 uppsatser innehållade orden mono depth.

  1. 1. Temperature analysis of fire exposed load-bearing structures of mono glazed balconies

    Master-uppsats, Luleå tekniska universitet/Byggkonstruktion och brand

    Författare :Andreas Lilja; [2020]
    Nyckelord :CFD; FDS; FEM; TASEF; EKS; Eurocode; Simulation; Fire; Balcony; CFD; FDS; FEM; TASEF; EKS; Eurokoderna; Simulering; Brand; Balkong;

    Sammanfattning : Previous to the now acting construction regulations EKS and Eurocode, the fire resistance of the load-bearing structures of mono glazed balconies were designed with a fire test called the SP fire 105. In 2011, when EKS replaced the previous construction regulations called Boverkets konstruktionsregler, BKR, the SP fire 105 was no longer the requirement for mono glazed balconies. LÄS MER

  2. 2. 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

  3. 3. Managerial Perceptions of Scope Creep in Projects : A Multiple-Case Study

    Master-uppsats, Umeå universitet/Företagsekonomi

    Författare :Mathias Høylandskjær; [2018]
    Nyckelord :Project Management Scope Change Scope Creep Scope Management;

    Sammanfattning : Introduction - Scope creep is uncontrolled and unauthorized changes to a project, extending the project beyond its initial boundaries. An extensive literature review indicated that scope creep is a common occurrence in projects with dire consequences. There are two dominant perspectives on scope creep. Either it is preventable, or inevitable. LÄS MER

  4. 4. Road Surface Preview Estimation Using a Monocular Camera

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Marcus Ekström; [2018]
    Nyckelord :Road Surface Preview; Computer Vision; Depth Estimation; Convolutional Neural Network; CNN; traffic safety; monocular camera; mono vision system; mono camera; Structure from motion; sfm; 3D Reconstruction; Autonomous Driving; Datorseende; trafiksäkerhet; djupuppskattning; mono kamera; 3D rekonstruktion; autonoma fordon;

    Sammanfattning : Recently, sensors such as radars and cameras have been widely used in automotives, especially in Advanced Driver-Assistance Systems (ADAS), to collect information about the vehicle's surroundings. Stereo cameras are very popular as they could be used passively to construct a 3D representation of the scene in front of the car. LÄS MER

  5. 5. Deep Convolutional Neural Networks for Real-Time Single Frame Monocular Depth Estimation

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Jacob Schennings; [2017]
    Nyckelord :deep learning; machine learning; mono vision system; lightweight; CNN; convolutional neural network; depth estimation; lidar; kitti; vehicle camera; mono camera; camera; real-time; real time; ad; autonomous driving; adas; advanced driver assistance systems; mono depth; computer vision; regression; pixel-wise; pixel wise; object detection; general object detection; pedestrian detection; vehicle detection; supervised learning; supervised; tensorflow; python; keras; opencv; autoliv;

    Sammanfattning : Vision based active safety systems have become more frequently occurring in modern vehicles to estimate depth of the objects ahead and for autonomous driving (AD) and advanced driver-assistance systems (ADAS). In this thesis a lightweight deep convolutional neural network performing real-time depth estimation on single monocular images is implemented and evaluated. LÄS MER