Essays about: "computer vision topic"

Showing result 1 - 5 of 27 essays containing the words computer vision topic.

  1. 1. Robust Neural Receiver in Wireless Communication : Defense against Adversarial Attacks

    University essay from Linköpings universitet/Kommunikationssystem

    Author : Alice Nicklasson Cedbro; [2023]
    Keywords : Wireless communication; Neural receiver; Robust neural receiver; Adversarial machine learning; Fast Gradient Sign Method; Adversarial training;

    Abstract : In the field of wireless communication systems, the interest in machine learning has increased in recent years. Adversarial machine learning includes attack and defense methods on machine learning components. READ MORE

  2. 2. Towards More Efficient Wireless Power Transfer for 6G

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Ali Al-Ameri; Jaeyoung Park; [2023]
    Keywords : Technology and Engineering;

    Abstract : As time is moving forward, the world is becoming more dependent on Internet of Things (IoT) devices. The vision for the future involves IoT devices participating in various aspects of our daily lives, including sensing, controlling, and communicating. READ MORE

  3. 3. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning

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

    Author : Beatrice Lovely; [2022]
    Keywords : Smart Devices; Machine Learning; Sensors; Radar; Inertial Measurement Unit; Computer Vision; Smarta Saker; Maskininlärning; Sensorer; Radar; Tröghetsmåttenhet; Dator- seende;

    Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE

  4. 4. Video Retargeting using Vision Transformers : Utilizing deep learning for video aspect ratio change

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

    Author : Gil Laufer; [2022]
    Keywords : Video retargeting; Aspect ratio; Computer vision; Deep learning; Vision transformers.; Video retargeting; Bildförhållande; Datorseende; Djupinlärning; Vision transformers.;

    Abstract : The diversity of video material, where a video is shot and produced using a single aspect ratio, and the variety of devices that can play video with screens in different aspect ratios make video retargeting a relevant topic. The process of fitting a video filmed in one aspect ratio to a screen in another aspect ratio is called video retargeting, and the retargeted video should ideally preserve the important content and structure of the original video as well as be free of visual artifacts. READ MORE

  5. 5. Using active learning for semi-automatically labeling a dataset of fisheye distorted images for object detection

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Olof Bourghardt; [2022]
    Keywords : Machine learning; Object detection; Computer vision; Semi-automatic data labeling; Fisheye images;

    Abstract : Self-driving vehicles has become a hot topic in today's industry during the past years and companies all around the globe are attempting to solve the complex task of developing vehicles that can safely navigate roads and traffic without the assistance of a driver.  As deep learning and computer vision becomes more streamlined and with the possibility of using fisheye cameras as a cheap alternative to external sensors some companies have begun researching the possibility for assisted driving on vehicles such as electrical scooters to prevent injuries and accidents by detecting dangerous situations as well as promoting a sustainable infrastructure. READ MORE