Sökning: "radar target tracking"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden radar target tracking.

  1. 1. An Adaptive IMM-UKF method for non-cooperative tracking of UAVs from radar data

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Hólmfrídur Elvarsdottir; [2022]
    Nyckelord :Radar tracking; Kalman filters; UAV Unmanned Arial Vehicle ; IMM Interacting Multiple Model ; Nonlinear filters; Radar spårning; Kalmanfilter; Obemannade luftfarkoster; IMM Interacting Multiple Model ; Olinjära filter;

    Sammanfattning : With the expected growth of Unmanned Aerial Vehicle (UAV) traffic in the coming years, the demand for UAV tracking solutions in the Air Traffic Control (ATC) industry has been incentivized. To ensure the safe integration of UAVs into airspace, Air Traffic Management (ATM) systems will need to provide a number of services such as UAV tracking. LÄS MER

  2. 2. Ghost target classification using scene models in radar

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Anton Sedin; David Wadmark; [2021]
    Nyckelord :Technology and Engineering;

    Sammanfattning : In surveillance contexts, radars can be used to monitor an area, detecting and tracking moving objects inside it. Monitored areas in urban environments often contain many surfaces that reflect radar waves, which can have the undesired consequence of a single object producing multiple tracks due to multipath propagation effects. LÄS MER

  3. 3. Ghost target classification using scene models in radar

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :David Wadmark; Anton Sedin; [2021]
    Nyckelord :radar surveillance; multipath; machine learning; classification; Mathematics and Statistics;

    Sammanfattning : In surveillance contexts, radars can be used to monitor an area, detecting and tracking moving objects inside it. Monitored areas in urban environments often contain many surfaces that reflect radar waves, which can have the undesired consequence of a single object producing multiple tracks due to multipath propagation effects. LÄS MER

  4. 4. Evaluation of Tracking Filters for Tracking of Manoeuvring Targets

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Ludvig Junler; [2020]
    Nyckelord :Interacting multiple model; Kalman filter; Target tracking;

    Sammanfattning : This thesis evaluates different solutions to the target tracking problem with the use of airborne radar measurements. The purpose of this report is to present and compare options that can improve the tracking performance when the target is performing various manoeuvres while the radar measurements are noisy. LÄS MER

  5. 5. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms

    Master-uppsats, Linköpings universitet/Reglerteknik; Linköpings universitet/Reglerteknik

    Författare :Albin Vestin; Gustav Strandberg; [2019]
    Nyckelord :evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking;

    Sammanfattning : Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. LÄS MER