Essays about: "ICP Registration"
Showing result 1 - 5 of 16 essays containing the words ICP Registration.
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1. Point Cloud Registration using both Machine Learning and Non-learning Methods : with Data from a Photon-counting LIDAR Sensor
University essay from Linköpings universitet/DatorseendeAbstract : Point Cloud Registration with data measured from a photon-counting LIDAR sensor from a large distance (500 m - 1.5 km) is an expanding field. Data measuredfrom far is sparse and have low detail, which can make the registration processdifficult, and registering this type of data is fairly unexplored. READ MORE
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2. Robust Registration of ToF and RGB-D Camera Point Clouds
University essay from KTH/Fastigheter och byggandeAbstract : 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
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3. Machine Learning for LiDAR-SLAM : In Forest Terrains
University essay from Linköpings universitet/DatorseendeAbstract : Point set registration is a well-researched yet still not a very exploited area in computer vision. As the field of machine learning grows, the possibilities of application expand. READ MORE
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4. Development of an ICP-based Global Localization System
University essay from Linköpings universitet/ReglerteknikAbstract : The most common way to track the position of a vehicle is by using the Global Navigation Satellite System (GNSS). Unfortunately, there are many scenarios where GNSS is inaccessible or provides low precision, and it can therefore be vulnerable to only rely on GNSS. READ MORE
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5. Relative pose estimation of a plane on an airfield with automotive-class solid-state LiDAR sensors : Enhancing vehicular localization with point cloud registration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Point cloud registration is a technique to align two sets of points with manifold applications across a range of industries. However, due to a lack of adequate sensing technology, this technique has seldom found applications in the automotive sector up to now. READ MORE