Essays about: "dödräkning"

Showing result 1 - 5 of 8 essays containing the word dödräkning.

  1. 1. 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. 2. Submap Correspondences for Bathymetric SLAM Using Deep Neural Networks

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

    Author : Jiarui Tan; [2022]
    Keywords : Underwater simultaneous localization and mapping; Multibeam echosounder; Point cloud registration; Deep learning; Undervattens simultan lokalisering och kartläggning; Multibeam ekolod; Punktmolnsregistrering; Djupinlärning;

    Abstract : Underwater navigation is a key technology for exploring the oceans and exploiting their resources. For autonomous underwater vehicles (AUVs) to explore the marine environment efficiently and securely, underwater simultaneous localization and mapping (SLAM) systems are often indispensable due to the lack of the global positioning system (GPS). READ MORE

  4. 3. Map-aided localization for autonomous driving using a particle filter

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

    Author : Simon Eriksson; [2020]
    Keywords : Particle filter; Monte Carlo filter; Gaussian noise; Bayesian estimation; probabilistic localization; autonomous vehicles; Scania; OpenStreetMap; Partikelfilter; Monte Carlo-filter; Gaussiskt brus; Bayesisk uppskattning; sannolikhetsbaserad lokalisering; autonoma fordon; Scania; OpenStreetMap;

    Abstract : Vehicles losing their GPS signal is a considerable issue for autonomous vehicles and can be a danger to people in their vicinity. To circumvent this issue, a particle filter localization technique using pre-generated offline Open Street Map (OSM) maps was investigated in a software simulation of Scania’s heavy-duty trucks. READ MORE

  5. 4. Development and Testing of Performance Assessment Equipment for Elite Fencers

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

    Author : Yu Ge; [2019]
    Keywords : ;

    Abstract : The main purpose of this thesis is to use a low-quality inertial sensor, whichonly provides 3-D acceleration and 3-D angular velocity, to have good poseestimation results, which is to track the orientation, the velocity and the displacementof some fencing relevant movements. This thesis focuses on twomain parts, algorithms for pose estimation and algorithms for re-calibration ofboth the accelerometer and the gyroscope. READ MORE

  6. 5. Performance Evaluation of Short Time Dead Reckoning for Navigation of an Autonomous Vehicle

    University essay from Linköpings universitet/Reglerteknik; Linköpings universitet/Tekniska högskolan

    Author : David Enberg; [2015]
    Keywords : INS; GNSS; vehicle models; EKF; dead reckoning;

    Abstract : Utilizing a Global Navigation Satellite System (GNSS) together with an Inertial Navigation System (INS) is today a common integration method to obtain a positioning solution for autonomous systems. Both GNSS and INS have benefits and weaknesses where the best parts from both systems can be combined with a Kalman filter. READ MORE