Sökning: "Jacob Schennings"

Hittade 2 uppsatser innehållade orden Jacob Schennings.

  1. 1. 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

  3. 2. Modeling state of waste water system in Dakar, Senegal

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jacob Schennings; Rasmus Pettersson; [2016]
    Nyckelord :;

    Sammanfattning : This report contains a method to mathematically determine the condition of pipes in a sewer system in Dakar, Senegal. First a survival analysis model is established based on probability density functions. The functions are then fitted to a data set consisting of the age of the sewer pipes and their inspected status. LÄS MER