Essays about: "the fusion of offline and online"

Showing result 1 - 5 of 7 essays containing the words the fusion of offline and online.

  1. 1. Data-driven methods for estimation of dynamic OD matrices

    University essay from Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

    Author : Ina Eriksson; Lina Fredriksson; [2021]
    Keywords : Large-scale mobility data; Dynamic OD matrix; Unsupervised learning; Sensor fusion; Kalman filter; Principal component analysis; Online estimation; OD estimation;

    Abstract : The idea behind this report is based on the fact that it is not only the number of users in the traffic network that is increasing, the number of connected devices such as probe vehicles and mobile sources has increased dramatically in the last decade. These connected devices provide large-scale mobility data and new opportunities to analyze the current traffic situation as they traverse through the network and continuously send out different types of information like Global Positioning System (GPS) data and Mobile Network Data (MND). READ MORE

  3. 2. Ball tracking algorithm for mobile devices

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

    Author : Kamil Rzechowski; [2020]
    Keywords : Object tracking; ball tracking; object tracking on mobile devices; object tracking on iPhone; SiameseFC tracker; convolutional neural networks for object tracking; JustFootball; Objektspårning; bollspårning; objektspårning på mobila enheter; objektspårning på iPhone; SiameseFC-tracker; konvolutionsneurala nätverk för objektspårning; JustFootball;

    Abstract : Object tracking seeks to determine the object size and location in the following video frames, given the appearance and location of the object in the first frame. The object tracking approaches can be divided into categories: online trained trackers and offline trained tracker. READ MORE

  4. 3. Improving the accuracy of an industrial robotic arm using iterative learning control with data fusion of motor angles and imu sensors

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

    Author : Staffan Brickman; Peter Andersson; [2020]
    Keywords : IMU; Robotics; ILC; estimation;

    Abstract : The estimated position of an industrial robot’s end-effector is crucial for its performance. Contemporary methods for doing the estimation is limited in certain aspects, and alternative methods are in high demand. READ MORE

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

    University essay from 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

  6. 5. Multisensor fusion and control strategies for low cost hybrid stepper motor solutions

    University essay from Luleå tekniska universitet/Signaler och system

    Author : Mattias Wallin; [2017]
    Keywords : Multisensor fusion; Hybrid Stepper Motor; Extended Kalman Filter;

    Abstract : This thesis has explored if it is feasible to produce a good estimation of the rotational position of a stepper motor by using sensor fusion schemes to merge a sensorless position estimation (based on the back electromotive force) with the measurement from a magnetic rotational position sensor. The purpose was to find a cheaper alternative for position feedback in closed loop control from conventionally used rotational encoders and resolvers. READ MORE