Essays about: "Runway Detection"

Found 5 essays containing the words Runway Detection.

  1. 1. Kalman filters as an enhancement to object tracking using YOLOv7

    University essay from KTH/Matematik (Avd.)

    Author : Axel Jernbäcker; [2022]
    Keywords : statistics; applied mathematics; machine learning; kalman filter; statistik; tillämpad matematik; maskinlärning; kalman filter;

    Abstract : In this paper we study continuous tracking of airplanes using object detection models, namely YOLOv7, combined with a Kalman filter. The tracking should be able to be done in real-time. The idea of combining Kalman filters with an object detection model comes from the lack of time-dependent context in models such as YOLOv7. READ MORE

  3. 2. Airports Runway Monitoring System : Using Thermal Imaging Approach

    University essay from Blekinge Tekniska Högskola

    Author : SAI CHETAN POLURI; SAAROOPYA GUTIPALLI; [2022]
    Keywords : Background subtraction; Computer vision; Distance estimation; Machine Learning; Mammal detection; Thermal Imaging.;

    Abstract : Context: On airport runways, monitoring is done by Precision Runway Monitor (PRM) method with the help of radar. Most of the airports are built near the forests so there is a greater chance of mam-mal intrusion onto the runways leading to massive accidents. READ MORE

  4. 3. Dataset Generation in a Simulated Environment Using Real Flight Data for Reliable Runway Detection Capabilities

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Emil Tagebrand; Emil Gustafsson Ek; [2021]
    Keywords : Neural Network; Convolutional Neural Network; CNN; Runway Detection; Landing Scenarios; Dataset Generation; Dataset; Dataset Augmentation; Object Detection; Aviation; ADS-B; Flight Data; Reliable Runway Detection; Simulated Environments; Automatic Annotation; Dataset Variation; Dataset Analysis;

    Abstract : Implementing object detection methods for runway detection during landing approaches is limited in the safety-critical aircraft domain. This limitation is due to the difficulty that comes with verification of the design and the ability to understand how the object detection behaves during operation. READ MORE

  5. 4. Object Detection in Infrared Images using Deep Convolutional Neural Networks

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Markus Jangblad; [2018]
    Keywords : Object detection; Infrared images; Deep Convolutional Neural Network; Objektdetektering; Infraröda bilder; neurala nätverk;

    Abstract : In the master thesis about object detection(OD) using deep convolutional neural network(DCNN), the area of OD is being tested when being applied to infrared images(IR). In this thesis the, goal is to use both long wave infrared(LWIR) images and short wave infrared(SWIR) images taken from an airplane in order to train a DCNN to detect runways, Precision Approach Path Indicator(PAPI) lights, and approaching lights. READ MORE

  6. 5. Runway detection in LWIR video : Real time image processing and presentation of sensor data

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Erasmus Cedernaes; [2016]
    Keywords : LWIR; FPGA; Zynq; Runway; Hough transform; Real-time;

    Abstract : Runway detection in long wavelength infrared (LWIR) video could potentially increase the number of successful landings by increasing the situational awareness of pilots and verifying a correct approach. A method for detecting runways in LWIR video was therefore proposed and evaluated for robustness, speed and FPGA acceleration. READ MORE