Essays about: "Punktmoln"
Showing result 11 - 15 of 66 essays containing the word Punktmoln.
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11. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. READ MORE
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12. Maximizing the performance of point cloud 4D panoptic segmentation using AutoML technique
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Environment perception is crucial to autonomous driving. Panoptic segmentation and objects tracking are two challenging tasks, and the combination of both, namely 4D panoptic segmentation draws researchers’ attention recently. READ MORE
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13. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads
University essay from KTH/Fastigheter och byggandeAbstract : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. READ MORE
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14. CenterPoint-based 3D Object Detection in ONCE Dataset
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. READ MORE
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15. Distance preserving Fermat VAE
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep neural networks takes their strength in the representations, or features, that they internally build. While these internal encodings help networks performing classification or regression tasks on specific data types, it exists a branch of machine learning that has for only purpose to build these representations. READ MORE