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Showing result 1 - 5 of 32 essays matching the above criteria.

  1. 1. Analysing the quality of PlaneRCNN plane parameters using a structure from motion system

    University essay from Lunds universitet/Matematik LTH

    Author : Fredrik Österberg; [2021]
    Keywords : structure from motion; PlaneRCNN; neural network; sfm; computer vision; RANSAC; planes; room reconstruction; Mathematics and Statistics; Technology and Engineering;

    Abstract : This report aims to compare the plane parameters given by the PlaneRCNN network with those created by using a Structure from Motion (SfM) solution on the same data. Several datasets are used, and the results from PlaneRCNN are evaluated by using the camera matrices from the SfM solution and applying these along with scaling and coordinate transformations. READ MORE

  2. 2. LiDAR-Equipped Wireless Sensor Network for Speed Detection on Classification Yards

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

    Author : Isak Olsson; André Lindgren; [2021]
    Keywords : LiDAR; Internet of Things IoT ; Wireless Sensor Networks WSN ; Classification yards; 6LoWPAN; RANSAC; LiDAR; Sakernas internet; Trådlösa sensornätverk; Rangerbangårdar; 6LoWPAN; RANSAC;

    Abstract : Varje dag kopplas tusentals godsvagnar om på de olika rangerbangårdarna i Sverige. För att kunna automatiskt bromsa vagnarna tillräckligt mycket är det nödvändigt att veta deras hastigheter. En teknik som har blivit populär på sistone är Light Detection and Ranging (LiDAR) som använder ljus för att mäta avstånd till objekt. READ MORE

  3. 3. Unsupervised Learning for Structure from Motion

    University essay from Linköpings universitet/Datorseende

    Author : Erik Örjehag; [2021]
    Keywords : sfm; structure from motion; depth; ego-motion; unsupervised learning; consensus maximization;

    Abstract : Perception of depth, ego-motion and robust keypoints is critical for SLAM andstructure from motion applications. Neural networks have achieved great perfor-mance in perception tasks in recent years. But collecting labeled data for super-vised training is labor intensive and costly. READ MORE

  4. 4. Robust Registration of ToF and RGB-D Camera Point Clouds

    University essay from KTH/Fastigheter och byggande

    Author : Shuo Chen; [2021]
    Keywords : Robustness; Estimator; Feature extraction; RANSAC; BLAVE; M-estimator; ToF; RGB-D; Robusthet; Uppskattare; Särdragsextraktion; RANSAC; BLAVE; M-uppskattare; ToF; RGB-D;

    Abstract : This thesis presents a comparison of M-estimator, BLAVE, and RANSAC method in point clouds registration. The comparison is performed empirically by applying all the estimators on a simulated data added with noise plus gross errors, ToF data and RGB-D data. The RANSAC method is the fastest and most robust estimator from the comparison. READ MORE

  5. 5. Minimal Deformation Methods for Loop Closure

    University essay from Lunds universitet/Matematik LTH

    Author : Erik Tegler; [2021]
    Keywords : Mathematics and Statistics;

    Abstract : This thesis proposes a method for how to find duplicated 3D points in a single Structure from Motion point cloud. Together with related articles, this forms a possible solution to the loop closure problem. The proposed method works by first selecting candidate pairs of 3D points by comparing BRIEF descriptors of all points. READ MORE