Essays about: "Monocular"

Showing result 36 - 40 of 77 essays containing the word Monocular.

  1. 36. Localization for autonomous construction vehicles using monocular camera and AprilTag

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

    Author : Xiaodi Yu; [2020]
    Keywords : ;

    Abstract : Global Navigation Satellite System (GNSS) is commonly used to provide thelocation to navigate the vehicles in outdoor environment. However, GNSS is unreliablein some complex environment such as an open-pit mining environment. READ MORE

  3. 37. Global localization of nano drone in an indoor environment

    University essay from Lunds universitet/Matematik LTH

    Author : Sofie Olsson; [2020]
    Keywords : Global localization; Crazyflie; indoor navigation; SLAM; point cloud map; monocular camera; drone; computer vision; Technology and Engineering;

    Abstract : For a drone to be able to navigate in an indoor environment, it needs to understand its surroundings and locate itself to be able to plan a trajectory to its final destination. This thesis aims to solve the global localization problem, i.e. READ MORE

  4. 38. Multi-Camera People Detection and Tracking

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

    Author : Chuting Zhu; [2019]
    Keywords : ;

    Abstract : Pedestrian detection and tracking are essential problems in the field of computer vision, having a wide range of applications in surveillance, security, autonomous driving and robotics areas. Although people detection and tracking are generally considered widely-used technologies currently, however, occlusions still remain a major challenge. READ MORE

  5. 39. 3D Bounding Box Detection from Monocular Images

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

    Author : Marcel Cata Villa; [2019]
    Keywords : ;

    Abstract : Object detection is particularly important in robotic applications that require interaction with the environment. Although 2D object detection methods obtain accurate results, these are not enough to provide a complete description of the 3D scenario. Therefore, many models have recently showed promising progress in this challenging field. READ MORE

  6. 40. 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