Essays about: "Extended Kalman Filtering"

Showing result 1 - 5 of 30 essays containing the words Extended Kalman Filtering.

1. 1. Traffic State Estimation for Signalized Intersections : A Combined Gaussian Process Bayesian Filter Approach

   University essay from KTH/Transportplanering

   Author : Michael Sederlin; [2020]
   Keywords : Traffic State Estimation; Traffic Flow modelling; Gaussian Processes; Bayesian Filtering; Kalman Filter; Traffic Signals; Intersection; Non-parametric;

   Abstract : Traffic State Estimation (TSE) is a vital component in traffic control which requires an accurate viewof the current traffic situation. Since there is no full sensor coverage and the collected measurementsare inflicted with random noise, statistical estimation techniques are necessary to accomplish this. READ MORE

3. 2. Optimizing multi-robot localization with Extended Kalman Filter feedback and collaborative laser scan matching

   University essay from Mälardalens högskola/Akademin för innovation, design och teknik

   Author : Fredrik Ginsberg; [2020]
   Keywords : ;

   Abstract : Localization is a critical aspect of robots and their industrial applications, with its major impact on navigation and planning. The goal of this thesis is to improve multi-robot localization by utilizing scan matching algorithms to calculate a corrected pose estimate using the robots' shared laser scan data. READ MORE

4. 3. The Effect of Simulink Block Kalman Filters in a CubeSat ADCS

   University essay from KTH/Rymdteknik

   Author : Jesper Larsson; [2020]
   Keywords : ADCS; Kalman Filter; Simulink; Simulation; Block; EKF; UKF; ADCS; Kalmanfilter; Simulink; Simulering; Block; EKF; UKF;

   Abstract : The purpose of this paper was to implement Kalman filtering in the form of pre-existing Simulink blocks into a CubeSat attitude determination and control system simulation and to evaluate their performance. In recent versions of Simulink, the block library has been expanded, providing a new level of abstraction for simulation engineers. READ MORE

5. 4. A Vehicular Ad Hoc Network Based Localization for a City Bus

   University essay from KTH/Mekatronik

   Author : Prithvi Shenoy; [2019]
   Keywords : City bus; Localization; Inter vehicular communication; Road side units; Minimum mean square error estimation; Kalman filtering;

   Abstract : City busses are operated on roads where the GPS signal is weak, because of the tall buildings surrounding these roads. The localization of city busses, needs to therefore rely on alternate technique in order to improve the accuracy. READ MORE

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

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

   Author : Albin Vestin; Gustav Strandberg; [2019]
   Keywords : 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;

   Abstract : 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. READ MORE