Sökning: "Monocular trajectory estimation"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Monocular trajectory estimation.

1. 1. Localization of Combat Aircraft at High Altitude using Visual Odometry

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Jenny Nilsson Boij; [2022]
   Nyckelord :Monocular Visual Odometry; Monocular SLAM; High Altitude; Combat Aircraft; X-Plane;

   Sammanfattning : Most of the navigation systems used in today’s aircraft rely on Global Navigation Satellite Systems (GNSS). However, GNSS is not fully reliable. For example, it can be jammed by attacks on the space or ground segments of the system or denied at inaccessible areas. LÄS MER

3. 2. Tracking motion in mineshafts : Using monocular visual odometry

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Karl Suikki; [2022]
   Nyckelord :Monocular Visual Odometry; Tracking; ORB; SIFT;

   Sammanfattning : LKAB has a mineshaft trolley used for scanning mineshafts. It is suspended down into a mineshaft by wire, scanning the mineshaft on both descent and ascent using two LiDAR (Light Detection And Ranging) sensors and an IMU (Internal Measurement Unit) used for tracking the position. LÄS MER

4. 3. Deep Monocular Visual Odometry for fixed-winged Aircraft : Exploring Deep-VO designed for ground use in a high altitude aerial environment

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

   Författare :Oliver Öhrstam Lindström; [2022]
   Nyckelord :Deep-VO; Aviation; Fixed-Wing; Aircraft; Deep Learning; Deep-VO; Hög Höjd; Flygplan; Deep Learning;

   Sammanfattning : In aviation, safety is a big concern. Knowing the position of an aircraft at all times is of high importance. Today most aircraft utilize Global Navigation Satellite Systems (GNSS) for localization and precision navigation because of the small position error which do not increase over time. LÄS MER

5. 4. Inferring 3D trajectory from monocular data using deep learning

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

   Författare :Victor Sellstedt; [2021]
   Nyckelord :Deep Learning; Monocular trajectory estimation; Time series prediction; Synthetic data; Djupinlärning; Inferens från monkulära sekvenser; Tidsserieanalys; Syntetisk data;

   Sammanfattning : Trajectory estimation, with regards to reconstructing a 3D trajectory from a 2D trajectory, is commonly achieved using stereo or multi camera setups. Although projections from 3D to 2D suffer significant information loss, some methods approach this problem from a monocular perspective to address limitations of multi camera systems, such as requiring points in to be observed by more than one camera. 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