Advanced search

Showing result 6 - 10 of 14 essays matching the above criteria.

  1. 6. Use of improved Deep Learning and DeepSORT for Vehicle estimation

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

    Author : Danna Zheng; [2022]
    Keywords : YOLOv4 algorithm; deep learning; DeepSORT; vehicle detection; attention mechanism; vehicle tracking; YOLOv4-algoritmen; djupinlärning; DeepSORT; fordonsdetektering; fordonsspårning;

    Abstract : Intelligent Traffic System (ITS) has high application value in nowadays vehicle surveillance and future applications such as automated driving. The crucial part of ITS is to detect and track vehicles in real-time video stream with high accuracy and low GPU consumption. READ MORE

  3. 7. Fire detection in industrial environments

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Otto Zell; Joel Pålsson; [2022]
    Keywords : ;

    Abstract : Bränder är väldigt destruktiva, och när de bryter ut påverkar de allt runt omkring. Det bästa sättet att minimera skada från bränder är att upptäcka de tidigtinnan de brytit ut ordetnligt, detta handlar ofta om sekunder som gör skillnad. READ MORE

  4. 8. Pedestrian Multiple Object Tracking in Real-Time

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

    Author : Samuel Wintzell; [2022]
    Keywords : Computer Vision; Deep Learning; Multiple Object Tracking; Object Detection; Person Re-identification; Datorseende; Djupinlärning; Spårning av Flera Objekt; Objektdetektering; Personidentifiering;

    Abstract : Multiple object tracking (MOT) is the task of detecting multiple objects in a scene and associating detections over time to form tracks. It is essential for many scene understanding tasks like surveillance, robotics and autonomous driving. READ MORE

  5. 9. Ocean Exploration with Artificial Intelligence

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Sarah Al-Khateeb; Lisa Bodlak; [2021-07-06]
    Keywords : computer science; deep learning; generative adversarial networks; data augmentation; object detection; underwater image; computer vision;

    Abstract : Large and diverse data is crucial to train object detection systems properly and achieve satisfactory prediction performance. However, in some areas, such as ma rine science, gathering sufficient data is challenging and sometimes even infeasible. Working with limited data can result in overfitting and poor performance. READ MORE

  6. 10. Application of Machine Learning Algorithms for Post Processing of Reference Sensors

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : VASILIKI LAMPROUSI; [2021-04-01]
    Keywords : Object detection; machine learning; camera; sensors; semi-supervised learning;

    Abstract : The Autonomous Drive (AD) systems and Advanced Driver Assistance Systems (ADAS) in the current and future generations of vehicles include a large number of sensors which are used to perceive the vehicle’s surroundings. The production sensors of these vehicles are verified and validated against reference data that are originated from high-accurate reference sensors that are placed in a reference roof box at the top of the vehicle. READ MORE