Essays about: "iterative closest point"
Showing result 1 - 5 of 27 essays containing the words iterative closest point.
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1. Enhancement of a Power Line Information System by Combining BIM and LiDAR Data
University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesiAbstract : With the great ongoing energy transition in Sweden, Svenska Kraftnät (SVK) sees a huge need for investment in the Swedish transmission network and supporting IT- systems. SVK has a great amount of collected laser data over the electric power transmission network however this data does not contain any semantic attribution that can be analyzed on broader information systems. READ MORE
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2. 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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3. Static Extrinsic Calibration of a Vehicle-Mounted Lidar Using Spherical Targets
University essay from Umeå universitet/Institutionen för fysikAbstract : Self-driving cars are steadily becoming a reality by a growing number of driver assistance functions enabled by smart perception sensors. The light detection and ranging (lidar) sensor show great potential for perception tasks due to its precise distance measurements. READ MORE
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4. Real Time Lidar and ICP-Based Odometry in Dynamic Environments
University essay from Linköpings universitet/ReglerteknikAbstract : A robust and highly accurate positioning system is required to transition to fully autonomous vehicles in society. This thesis investigates the potential for lidar sensors to be a part of a localization system, adding redundancy in case of an outage in a global navigation satellite system GNSS. READ MORE
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5. Semantic segmentation using convolutional neural networks to facilitate motion tracking of feet : For real-time analysis of perioperative microcirculation images in patients with critical limb thretening ischemia
University essay from Linköpings universitet/Avdelningen för medicinsk teknikAbstract : This thesis investigates the use of Convolutional Neural Networks (CNNs) toperform semantic segmentation of feet during endovascular surgery in patientswith Critical Limb Threatening Ischemia (CLTI). It is currently being investigatedwhether objective assessment of perfusion can aid surgeons during endovascularsurgery. READ MORE