Essays about: "novel object"

Showing result 16 - 20 of 146 essays containing the words novel object.

  1. 16. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

    Author : Isabella Luppi; [2023]
    Keywords : Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

    Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE

  3. 17. Image Fusion of Infrared and Visible Images for Computer Vision Tasks

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Emil Friðriksson; [2023]
    Keywords : ;

    Abstract : Reliable perception in all type of weather conditions is an integral part of autonomous vehicles. In recent years, infrared cameras have become more accessible resulting in increased research and a handful of publicly available datasets that provide image pairs of infrared and visible images. READ MORE

  4. 18. Unsupervised Domain Adaptation for 3D Object Detection Using Adversarial Adaptation : Learning Transferable LiDAR Features for a Delivery Robot

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

    Author : Mattias Hansson; [2023]
    Keywords : Unsupervised Domain Adaptation; 3D Object Detection; Mobile Robotics; Adversarial Adaptation; Computer Vision; Oövervakad Domänanpassning; 3D Objektigenkänning; Mobila Robotar; Motspelaranpassning; Datorseende;

    Abstract : 3D object detection is the task of detecting the full 3D pose of objects relative to an autonomous platform. It is an important perception system that can be used to plan actions according to the behavior of other dynamic objects in an environment. READ MORE

  5. 19. The Relation Between High-Technology, Human Identity, the Body, and the Dystopian Future Society of Neuromancer

    University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Author : Bardia Naghinejad Kashani; [2023]
    Keywords : Cyberpunk; Neuromancer; Identity; Technology; Science Fiction; William Gibson; Society; Body; Literature;

    Abstract : We live in a world where not only humans but also any object around us is believed to have agency. A shifting relationship exists between everything, specifically between humans and technology. However, the relationship between humans and technology has become much more complicated in the world of Neuromancer. READ MORE

  6. 20. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards

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

    Author : Oliver Möller; [2023]
    Keywords : Deep Learning; Computer Vision; Image Processing; Object Detection; Instance Segmentation; Printed Circuit Board PCB ; Djupinlärning; Datorseende; Bildbehandling; Objektdetektering; Instanssegmentering; Tryckt kretskort;

    Abstract : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. READ MORE