Sökning: "depth sensors"

Visar resultat 21 - 25 av 92 uppsatser innehållade orden depth sensors.

  1. 21. Modeling and Automatic Control of a Seedbed Tine Harrow

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Henrik Fallgren; Viktor Uvesten; [2021]
    Nyckelord :control theory; agriculture; modeling; automatic control;

    Sammanfattning : The agricultural industry is facing a major technological change with autonomousvehicles in focus. This follows the global trend, where the interest lies in increas-ing production, while reducing costs with the help of automation. LÄS MER

  3. 22. Continuous Balance Evaluation by Image Analysis of Live Video : Fall Prevention Through Pose Estimation

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Henrik Runeskog; [2021]
    Nyckelord :Fall prevention; balance estimation; center of mass; center of pressure; human pose estimation; human keypoint detection; Fallprevention; balansestimering; tyngdpunkt; tryckcentrum; kroppshållningsestimation;

    Sammanfattning : The deep learning technique Human Pose Estimation (or Human Keypoint Detection) is a promising field in tracking a person and identifying its posture. As posture and balance are two closely related concepts, the use of human pose estimation could be applied to fall prevention. LÄS MER

  4. 23. Investigation of Increased Mapping Quality Generated by a Neural Network for Camera-LiDAR Sensor Fusion

    Master-uppsats, KTH/Mekatronik

    Författare :Joan Li Guisell Correa Silva; Sofia Jönsson; [2021]
    Nyckelord :sensor fusion; error detection; neural network; sources of error; mapping quality; SLAM; sensor fusion; felavkänning; neuralt nätverk; felkällor; kartläggningskvalitet; SLAM;

    Sammanfattning : This study’s aim was to investigate the mapping part of Simultaneous Localisation And Mapping (SLAM) in indoor environments containing error sources relevant to two types of sensors. The sensors used were an Intel Realsense depth camera and an RPlidar Light Detection AndRanging (LiDAR). LÄS MER

  5. 24. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Yegor Piven; [2021]
    Nyckelord :computer vision; machine learning; deep learning; depth estimation; single image depth estimation;

    Sammanfattning : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. LÄS MER

  7. 25. Heterogeneous collaborative SLAM : localization between camera and depth sensors

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

    Författare :Sebastián Barbas Laina; [2021]
    Nyckelord :;

    Sammanfattning : The heterogeneous collaborative simultaneous localization and mapping (SLAM) problem can be described as finding a way in which agents with different types of sensors, such as cameras or depth sensors, can collaboratively build a map and localize in it, although the environment has been mapped with a sensor different from the agent’s. The main challenge of this field is how to homogenize such heterogeneous information, images from cameras and structures from depth sensors, so that the information can be used and understood independently of its source. LÄS MER