Essays about: "Evaluation of location estimation methods"

Showing result 1 - 5 of 10 essays containing the words Evaluation of location estimation methods.

  1. 1. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems

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

    Author : Federico Bennasciutti; [2022]
    Keywords : DeepLearning; Visual Odometry; Computer Vision; RGB-D Camera; Feature Extraction; Interest Point Extraction; Djupinlärning; Visuell Odometri; Datorseende; RGB-D-kamera; Nyckelpunkter; Detektion;

    Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE

  3. 2. Measuring social acceptability of mobile voice user interfaces

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

    Author : Nevena Stojanovic; [2021]
    Keywords : ;

    Abstract : Even though mobile voice user interfaces have been available for several years, their use in the public space is still low. Voice user interfaces (VUI) introduce a new and highly visible behaviour, which raises questions if or where their use is socially acceptable. READ MORE

  4. 3. Continuous Balance Evaluation by Image Analysis of Live Video : Fall Prevention Through Pose Estimation

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Henrik Runeskog; [2021]
    Keywords : Fall prevention; balance estimation; center of mass; center of pressure; human pose estimation; human keypoint detection; Fallprevention; balansestimering; tyngdpunkt; tryckcentrum; kroppshållningsestimation;

    Abstract : The deep learning technique Human Pose Estimation (or Human Keypoint Detection) is a promising field in tracking a person and identifying its posture. As posture and balance are two closely related concepts, the use of human pose estimation could be applied to fall prevention. READ MORE

  5. 4. Radar Target detection using Cell Evaluation Method for Industrial Safety

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

    Author : Praanesh Sambath; [2020]
    Keywords : Functional Safety System; Conventional methods; Cell Evaluation Method; Radar Target detection; Angular Estimation.; Maskinsäkerhet; CFAR; Radar detection; Angular Estimation.;

    Abstract : The main aim of using radars in industrial safety system is to detect the presence of target accurately. The conventional methods of radar target detection algorithm such as the Cell averaging constant false alarm rate method (CA-CFAR), Greatest of constant false alarm method (GO-CFAR) and the Smallest of constant false alarm rate method (SO-CFAR) has their own disadvantage when it comes to precise target detection which is a key factor for a safety system. READ MORE

  6. 5. Vehicle Path Prediction Using Recurrent Neural Network

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Mim Kemal Tekin; [2020]
    Keywords : computer vision; autonomous driving; deep learning; uncertainty in deep learning;

    Abstract : Vehicle Path Prediction can be used to support Advanced Driver Assistance Systems (ADAS) that covers different technologies like Autonomous Braking System, Adaptive Cruise Control, etc. In this thesis, the vehicle’s future path, parameterized as 5 coordinates along the path, is predicted by using only visual data collected by a front vision sensor. READ MORE