Sökning: "Kalman Smoother"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Kalman Smoother.

1. 1. Extended Kalman Filter as Observer for a Hydrofoiling Watercraft : Modelling of a new hydrofoiling concept, based on the Spherical Inverted Pendulum Model

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

   Författare :Adam Thålin; [2022]
   Nyckelord :Extended Kalman Filter; Hydrofoiling; Spherical Inverted Pendulum; Sensor Fusion; Simulink; Bärplan; Extended Kalman Filter; Farkostteknik; Inverterad Pendel; Sensorfusion; Sex frihetsgrader; Simulink;

   Sammanfattning : Hydrofoiling in general has the potential to revolutionize watercraft in the future since it allows smoother and faster transport on water with less energy consumption than traditional planning hulls. Even if the concept of hydrofoiling has been around since the last century, development in control theory and material science together with increased computing power has led to a growing interest for the technology. LÄS MER

3. 2. Skeleton Tracking for Sports Using LiDAR Depth Camera

   Master-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Panagiotis Efstratiou; [2021]
   Nyckelord :Depth camera; Human pose estimation; Kinematics; Motion Capture; Skeletal tracking; Djupkamera; Uppskattning av mänsklig pose; Kinematik; Rörelseregistreringssystem; Skelettspårning;

   Sammanfattning : Skeletal tracking can be accomplished deploying human pose estimation strategies. Deep learning is shown to be the paramount approach in the realm where in collaboration with a ”light detection and ranging” depth camera the development of a markerless motion analysis software system seems to be feasible. LÄS MER

4. 3. Using Primary Dynamic Factor Analysis on repeated cross-sectional surveys with binary responses

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Arvid Edenheim; [2020]
   Nyckelord :Dynamic Factor Analysis; Factor Analysis; Expectation Maximization; Kalman Filter; Kalman Smoother; Cross-sectional Surveys; Tracking Surveys;

   Sammanfattning : With the growing popularity of business analytics, companies experience an increasing need of reliable data. Although the availability of behavioural data showing what the consumers do has increased, the access to data showing consumer mentality, what the con- sumers actually think, remain heavily dependent on tracking surveys. LÄS MER

5. 4. Estimating Position and Velocity of Traffic Participants Using Non-Causal Offline Algorithms

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Casper Johansson; [2019]
   Nyckelord :Tracking; UKF; RTS; Non-causal; Vehicle tracking; Estimation;

   Sammanfattning : In this thesis several non-causal offline algorithms are developed and evaluated for a vision system used for pedestrian and vehicle traffic. The reason was to investigate if the performance increase of non-causal offline algorithms alone is enough to evaluate the performance of vision system. LÄS MER

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

   Master-uppsats, 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