Essays about: "Pedestrian detection"

Showing result 11 - 15 of 48 essays containing the words Pedestrian detection.

  1. 11. Point Cloud Data Augmentation for Safe 3D Object Detection using Geometric Techniques

    University essay from

    Author : Shrayash Kapoor; [2021]
    Keywords : ;

    Abstract : Background: Autonomous navigation has become increasingly popular. This surge in popularity caused a lot of interest in sensor technologies, driving the cost of sensor technology down. This has resulted in increasing developments in deep learning for computer vision. READ MORE

  3. 12. Pedestrian Multiple Object Tracking  Using Deep Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Uvais Karni Mohideen Meera Sha; [2021]
    Keywords : ;

    Abstract : In this thesis, the aim is to examine the viability of Deep Neural  Network (DNN) based Multi-Object Tracking approaches for tracking  pedestrians. The tracking results are used for Autonomous Driver Assistance System (ADAS). The process of tracking multiple agents  across video is termed as Multiple Object Tracking (MOT). READ MORE

  4. 13. Pedestrian detection and tracking in 3D point cloud data on limited systems

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Jacob Berntsson; William Winberg; [2021]
    Keywords : Technology and Engineering;

    Abstract : .... READ MORE

  5. 14. Scene analysis using Tensorflow & YOLO algorithms on Raspberry pi 4

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Nivethan Marmayohan; Abdirahman Farah; [2021]
    Keywords : ;

    Abstract : Objektdetektion är en av de viktigaste mjukvarukomponenterna i nästa generation trafikövervakning. Deep learnings-algoritmer för objektdetektion, exempelvis YOLO (You Only Look Once), är snabba och noggranna algoritmer i realtid. Realtidsdetektion och igenkänning av objekt är viktiga uppgifter för bildbehandling. READ MORE

  6. 15. Object Detection with Deep Convolutional Neural Networks in Images with Various Lighting Conditions and Limited Resolution

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

    Author : Roman Landin; [2021]
    Keywords : Object detection; Super Resolution image generation; Low-Light image enhancement; Computer Vision; Detektion av objekt; Bildgenerering med superupplösning; Förbättring av bilder med dålig belysning; Datorseende;

    Abstract : Computer vision is a key component of any autonomous system. Real world computer vision applications rely on a proper and accurate detection and classification of objects. A detection algorithm that doesn’t guarantee reasonable detection accuracy is not applicable in real time scenarios where safety is the main objective. READ MORE