Essays about: "objektspårning"

Showing result 1 - 5 of 7 essays containing the word objektspårning.

  1. 1. Integration of a visual perception pipeline for object manipulation

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

    Author : Xiyu Shi; [2020]
    Keywords : System integration; Robotic grasping; Object tracking; System evaluation; Robot Operating System; Systemintegration; gripande av robotar; objektspårning; systemutvärdering; robotoperativsystem;

    Abstract : The integration of robotic modules is common both in industry and in academia, especially when it comes to robotic grasping and object tracking. However, there are usually two challenges in the integration process. READ MORE

  3. 2. Ball tracking algorithm for mobile devices

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

    Author : Kamil Rzechowski; [2020]
    Keywords : Object tracking; ball tracking; object tracking on mobile devices; object tracking on iPhone; SiameseFC tracker; convolutional neural networks for object tracking; JustFootball; Objektspårning; bollspårning; objektspårning på mobila enheter; objektspårning på iPhone; SiameseFC-tracker; konvolutionsneurala nätverk för objektspårning; JustFootball;

    Abstract : Object tracking seeks to determine the object size and location in the following video frames, given the appearance and location of the object in the first frame. The object tracking approaches can be divided into categories: online trained trackers and offline trained tracker. READ MORE

  4. 3. Monocular Depth Prediction in Deep Neural Networks

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

    Author : Guanqian Tang; [2019]
    Keywords : Convolutional neural networks; monocular depth prediction; ResNet; DenseNet; ; Konvolutional neurala nätverk; monokulär djupförutsägelse; ResNet; DenseNet; ;

    Abstract : With the development of artificial neural network (ANN), it has been introduced in more and more computer vision tasks. Convolutional neural networks (CNNs) are widely used in object detection, object tracking, and semantic segmentation, achieving great performance improvement than traditional algorithms. READ MORE

  5. 4. Object Tracking andInterception System : Mobile Object Catching Robot using StaticStereo Vision

    University essay from KTH/Maskinkonstruktion (Inst.); KTH/Maskinkonstruktion (Inst.)

    Author : Simon Calminder; Mattew Källström Chittum; [2018]
    Keywords : Mechatronics; Stereo vision; Magnetometer; Color recognition; Mekatronik; Stereoseende; Magnetometer; Färgigenkänning;

    Abstract : The aim of this project is to examine the feasibility andreliability of the use of a low cost computer vision system totrack and intercept a thrown object. A stereo vision systemtracks the object using color recognition and then guides amobile wheeled robot towards an interception point in orderto capture it. READ MORE

  6. 5. Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles

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

    Author : Albina Shilo; [2018]
    Keywords : Lidar; arbitrary object detection; object tracking;

    Abstract : Environment perception within autonomous driving aims to provide a comprehensive and accurate model of the surrounding environment based on information from sensors. For the model to be comprehensive it must provide the kinematic state of surrounding objects. READ MORE