Essays about: "Point Cloud Registration"
Showing result 1 - 5 of 25 essays containing the words Point Cloud Registration.
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1. Performance metrics and velocity influence for point cloud registration in autonomous vehicles
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Autonomous vehicles are currently under study and one of the critical parts is the localization of the vehicle in the environment. Different localization methods have been studied over the years, such as the GPS sensor, commonly fused with other sensors such as the IMU. READ MORE
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2. Evaluation of SLAM based mobile laser scanning and terrestrial laser scanning in the Kiruna mine : A comparison between the Emesent Hovermap HF1 mobile laser scanner and the Faro Laser Scanner Focus3D X 330 terrestrial laser scanner
University essay from Högskolan i Gävle/SamhällsbyggnadAbstract : The mining industry has over the last few decades seen a drastic increase in the usage of laser scanning technologies as a way of creating 3D maps of the mines being exploited. Underground mapping in places such as mines has become more prevalent as the technology has progressed and made it easier to generate highly detailed point clouds faster. READ MORE
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3. 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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4. Point clouds in the application of Bin Picking
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Automatic bin picking is a well-known problem in industrial automation and computer vision, where a robot picks an object from a bin and places it somewhere else. There is continuous ongoing research for many years to improve the contemporary solution. READ MORE
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5. Feature-Aware Point Transformer for Point Cloud Alignment Classification : Pose your pose to FACT
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : As the demand for 3D maps from LIDAR scanners increases, delivering high-quality maps becomes critical. One way to ensure the quality of such maps is through point cloud alignment classification, which aims to classify the alignment error between two registered point clouds. READ MORE