Essays about: "depth sensors"

Showing result 1 - 5 of 58 essays containing the words depth sensors.

  1. 1. Mixed Reality for Gripen Flight Simulators

    University essay from Linköpings universitet/Medie- och InformationsteknikLinköpings universitet/Tekniska högskolan; Linköpings universitet/Medie- och InformationsteknikLinköpings universitet/Tekniska högskolan

    Author : Tobias Olsson; Oscar Ullberg; [2021]
    Keywords : mixed reality; flight simulator; chroma key; depth sensors; immersion; latency; varjo;

    Abstract : This thesis aims to evaluate how different mixed reality solutions can be built and whetheror not it could be used for flight simulators. A simulator prototype was implemented usingUnreal Engine 4 with Varjo’s Unreal Engine plugin giving the foundation for the evaluations done through user studies. READ MORE

  2. 2. Operational data extraction using visual perception

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

    Author : Nagarajan Shunmugam; [2021]
    Keywords : Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Abstract : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. READ MORE

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

    University essay from KTH/Mekatronik; KTH/Mekatronik

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

    Abstract : 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). READ MORE

  4. 4. Semantic Scene Segmentation using RGB-D & LRF fusion

    University essay from Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)

    Author : Harald Lilja; [2020]
    Keywords : RGB-D; LiDAR; CNN; deep multimodal fusion; robotics; autonomous vehicles;

    Abstract : In the field of robotics and autonomous vehicles, the use of RGB-D data and LiDAR sensors is a popular practice for applications such as SLAM[14], object classification[19] and scene understanding[5]. This thesis explores the problem of semantic segmentation using deep multimodal fusion of LRF and depth data. READ MORE

  5. 5. Submesoscale variations in sea surface temperature and salinity - a comparison between satellite data and in situ measurements from a mobile platform

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Kerstin Bergentz; [2020]
    Keywords : Earth and Environmental Sciences;

    Abstract : Sea surface temperature and salinity are important variables for understanding many ocean and climate processes. They can be measured both by in situ sensors and satellite remote sensing, each method with its own advantages and disadvantages. READ MORE