Essays about: "vehicle estimation"

Showing result 11 - 15 of 259 essays containing the words vehicle estimation.

  1. 11. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS

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

    Author : Puya Faghi; [2023]
    Keywords : Lane estimation; Lane detection; Map-matching; Sensor fusion; Smart camera; Vehicle Radar; Intelligent vehicle systems; Körfältsestimering; Körfältsdetektering; Kartmatchning; Sensorfusion; Smart Kamera; Radar system; Fordonsradar; Intelligenta fordonssystem;

    Abstract : A vehicles ability to detect and estimate its surroundings is important for ensuring the safety of the vehicle and passengers regardless of the level of vehicle autonomy. With an improved road and lane estimation, advanced driver-assistance systems will be able to provide earlier and more accurate warnings and actions to prevent a possible accident. READ MORE

  3. 12. Blind Acoustic Feedback Cancellation for an AUV

    University essay from Linköpings universitet/Reglerteknik

    Author : Hampus Frick; [2023]
    Keywords : acoustical feedback; adaptive filter; least leaky mean square; Kalman; blind source separation; independent component analysis; complex independent component analysis; degenerative unmixing estimation technique; convolutive mixture;

    Abstract : SAAB has developed an autonomous underwater vehicle that can mimic a conventional submarine for military fleets to exercise anti-submarine warfare. The AUV actively emits amplified versions of received sonar pulses to create the illusion of being a larger object. READ MORE

  4. 13. State of Health estimation of battery systems

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Carl Spångberg; [2023]
    Keywords : Technology and Engineering;

    Abstract : This study focuses on estimating the state of health (SoH) of a lithium iron phosphate (LFP) battery system, which is crucial for assessing the value and lifespan of new or used batteries in energy storage, grid support, and electric vehicle applications. A proposed method for determining SoH based on comparing useful and nominal useful capacities in Ah and Wh, as well as total and nominal capacity, has been presented. READ MORE

  5. 14. Battery minimum temperature model : Temperature minimum estimation in a lithium-ion BEV

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Emil Nilsson; [2023]
    Keywords : Battery-electric vehicle; lithium-ion; temperature model; regression; MATLAB; Batteridriven elbil; Lithium ion batteri; temperatur-model; regression; MATLAB;

    Abstract : Bilindustrin förflyttar sig mer och mer från bensinmotorn till det mer miljövänliga alternativet den batteridrivna motorn. För att denna övergång skall gå smidigt behöver man hålla en viss standard bensinmotorn har satt för tillgång och prestanda på marknaden. READ MORE

  6. 15. 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