Sökning: "Pedestrian detection"

Visar resultat 1 - 5 av 50 uppsatser innehållade orden Pedestrian detection.

  1. 1. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Raahitya Botta; Aditya Aditya; [2023]
    Nyckelord :Artificial Intelligence AI ; Dataset; Deep learning; Object detection; Pedestrian detection; Performance analysis; Self-driving vehicles.;

    Sammanfattning : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. LÄS MER

  3. 2. Clustering on groups for human tracking with 3D LiDAR

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Utterström; [2023]
    Nyckelord :Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

    Sammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER

  4. 3. Anomaly detection in surveillance camera data

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Viktoriia Semerenska; [2023]
    Nyckelord :Anomaly detection; Machine Learning; Supervised learning; Video Analytics; Artificial Intelligence;

    Sammanfattning : The importance of detecting anomalies in surveillance camera data cannot be overemphasized. With the increasing availability of surveillance cameras in public and private locations, the need for reliable and effective methods to detect anomalous behavior has become critical to public safety. LÄS MER

  5. 4. Investigation regarding the Performance of YOLOv8 in Pedestrian Detection

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

    Författare :Jonatan Jönsson Hyberg; Adam Sjöberg; [2023]
    Nyckelord :Autonomous Cars; Machine Learning; YOLOv8; Pedestrian Detection;

    Sammanfattning : Autonomous cars have become a trending topic as cars become better and better at driving autonomously. One of the big changes that have allowed autonomous cars to progress is the improvements in machine learning. Machine learning has made autonomous cars able to detect and react to obstacles on the road in real time. LÄS MER

  7. 5. Radar Detection Using Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Ziliang Xiong; Leonardo Carrera; [2022]
    Nyckelord :Deep Learning; Autonomous Driving; Radar; Point Cloud; Technology and Engineering;

    Sammanfattning : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. LÄS MER