Point Cloud Processing For Environmental Analysis In Autonomous Driving Using Deep Learning
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Point Cloud Processing For Environmental Analysis In Autonomous Driving Using Deep Learning
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Author : Martin Simon
language : en
Publisher: BoD – Books on Demand
Release Date : 2023-01-01
Point Cloud Processing For Environmental Analysis In Autonomous Driving Using Deep Learning written by Martin Simon and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Computers categories.
Autonomous self-driving cars need a very precise perception system of their environment, working for every conceivable scenario. Therefore, different kinds of sensor types, such as lidar scanners, are in use. This thesis contributes highly efficient algorithms for 3D object recognition to the scientific community. It provides a Deep Neural Network with specific layers and a novel loss to safely localize and estimate the orientation of objects from point clouds originating from lidar sensors. First, a single-shot 3D object detector is developed that outputs dense predictions in only one forward pass. Next, this detector is refined by fusing complementary semantic features from cameras and joint probabilistic tracking to stabilize predictions and filter outliers. The last part presents an evaluation of data from automotive-grade lidar scanners. A Generative Adversarial Network is also being developed as an alternative for target-specific artificial data generation.
Neural Computing For Advanced Applications
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Author : Haijun Zhang
language : en
Publisher: Springer Nature
Release Date : 2022-10-20
Neural Computing For Advanced Applications written by Haijun Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-20 with Computers categories.
The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8–10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).
Deep Learning For 3d Point Clouds
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Author : Wei Gao
language : en
Publisher: Springer Nature
Release Date : 2024-12-06
Deep Learning For 3d Point Clouds written by Wei Gao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
As an efficient 3D vision solution, point clouds have been widely applied into diverse engineering scenarios, including immersive media communication, autonomous driving, reverse engineering, robots, topography mapping, digital twin city, medical analysis, digital museum, etc. Thanks to the great developments of deep learning theories and methods, 3D point cloud technologies have undergone fast growth during the past few years, including diverse processing and understanding tasks. Human and machine perception can be benefited from the success of using deep learning approaches, which can significantly improve 3D perception modeling and optimization, as well as 3D pre-trained and large models. This book delves into these research frontiers of deep learning-based point cloud technologies. The subject of this book focuses on diverse intelligent processing technologies for the fast-growing 3D point cloud applications, especially using deep learning-based approaches. The deep learning-based enhancement and analysis methods are elaborated in detail, as well as the pre-trained and large models with 3D point clouds. This book carefully presents and discusses the newest progresses in the field of deep learning-based point cloud technologies, including basic concepts, fundamental background knowledge, enhancement, analysis, 3D pre-trained and large models, multi-modal learning, open source projects, engineering applications, and future prospects. Readers can systematically learn the knowledge and the latest developments in the field of deep learning-based point cloud technologies. This book provides vivid illustrations and examples, and the intelligent processing methods for 3D point clouds. Readers can be equipped with an in-depth understanding of the latest advancements of this rapidly developing research field.
Robot2022 Fifth Iberian Robotics Conference
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Author : Danilo Tardioli
language : en
Publisher: Springer Nature
Release Date : 2022-11-18
Robot2022 Fifth Iberian Robotics Conference written by Danilo Tardioli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Technology & Engineering categories.
This book contains a selection of papers accepted for presentation and discussion at ROBOT 2022—Fifth Iberian Robotics Conference, held in Zaragoza, Spain, on November 23-25, 2022. ROBOT 2022 is part of a series of conferences that are a joint organization of SEIDROB—Sociedad Española para la Investigación y Desarrollo en Robótica/Spanish Society for Research and Development in Robotics, and SPR—Sociedade Portuguesa de Robótica/Portuguese Society for Robotic. ROBOT 2022 builds upon several previous successful events, including three biennial workshops and the four previous editions of the Iberian Robotics Conference, and is focused on presenting the research and development of new applications, on the field of Robotics, in the Iberian Peninsula, although open to research and delegates from other countries. ROBOT 2022 featured four plenary talks on state-of-the-art subjects on robotics and 15 special sessions, plus a main/general robotics track. In total, after a careful review process, 98 high-quality papers were selected for publication, with a total of 219 unique authors, from 22 countries.
Computer Vision And Image Processing Methods And Applications
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Author : Dr. Parthasarathi De
language : en
Publisher: Chyren Publication
Release Date : 2025-03-12
Computer Vision And Image Processing Methods And Applications written by Dr. Parthasarathi De and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-12 with Antiques & Collectibles categories.
Point Cloud Compression
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Author : Ge Li
language : en
Publisher: Springer Nature
Release Date : 2024-05-17
Point Cloud Compression written by Ge Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-17 with Computers categories.
3D point clouds have broad applications across various industries and have contributed to advancements in fields such as autonomous driving, immersive media, metaverse, and cultural heritage protection. With the fast growth of 3D point cloud data and its applications, the need for efficient compression technologies has become paramount. This book delves into the forefront of point cloud compression, exploring key technologies, standardization efforts, and future prospects. This comprehensive book uncovers the foundational concepts, data acquisition methods, and datasets associated with point cloud compression. By examining the fundamental compression technologies, readers can obtain a clear understanding of prediction coding, transform coding, quantization techniques, and entropy coding. Through vivid illustrations and examples, the book elucidates how these techniques have evolved over the years and their potentials for the future. To provide a complete picture, the book presents cutting-edge research methods in point cloud compression and facilitates comparisons among them. Readers can be equipped with an in-depth understanding of the latest advancements, and can gain insights into the various approaches employed in this dynamic field. Another distinguishing aspect of this book is its exploration of standardization works for point cloud compression. Notable standards, such as MPEG G-PCC, AVS PCC, and MPEG V-PCC, are thoroughly illustrated. By delving into the methods used in geometry-based, video-based, and deep learning-based compression, readers become familiar with the latest breakthroughs in the standard communities.
Ubiquitous Point Cloud
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Author : Bisheng Yang
language : en
Publisher: CRC Press
Release Date : 2024-12-04
Ubiquitous Point Cloud written by Bisheng Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-04 with Technology & Engineering categories.
Point clouds from LiDAR and photogrammetry are vital and vast sources of geospatial information besides remote sensing imagery. This book provides the latest theory and methodology for point cloud processing with AI to better serve earth observation, 3D vision, autonomous driving, smart city, and geospatial information applications. It covers various aspects of 3D geospatial information, including data capturing, fusing, geocomputing, modeling, and vast downstream applications. With the inclusion of numerous illustrations, diagrams, and practical applications, readers will better understand the point cloud, and its technical challenges, and learn how to utilize point cloud in different fields. Features Provides in-depth point cloud processing pipeline, cutting-edge theory, and technology with AI. Includes many specific applications of point cloud in the geospatial field. Offers a comprehensive step-by-step guide from theory to application in point cloud processing. Includes ample supplementary materials including datasets, tools, and other online resources. Helps readers across many disciplines, from geospatial to engineering, to understand the vast application of point clouds and how to further generate new ideas and innovative thoughts. This book is an excellent resource for researchers, academics, students, and professionals in a variety of fields including Geomatics, Remote Sensing, Cartography and Geographic Information Systems, Data Science, Geography, Earth Science, and more.
Construction Methods For An Autonomous Driving Map In An Intelligent Network Environment
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Author : Zhijun Chen
language : en
Publisher: Elsevier
Release Date : 2024-04-04
Construction Methods For An Autonomous Driving Map In An Intelligent Network Environment written by Zhijun Chen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Technology & Engineering categories.
This book provides an overview of constructing advanced Autonomous Driving Maps. It includes coverage of such methods as: fusion target perception (based on vehicle vision and millimeter wave radar), cross-field of view object perception, vehicle motion recognition (based on vehicle road fusion information), vehicle trajectory prediction (based on improved hybrid neural network) and the driving map construction method driven by road perception fusion. An Autonomous Driving Map is used for optimization of not only for a single vehicle, but also for the entire traffic system.
Signal Processing And Analysis Of Electrical Circuit
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Author : Adam Glowacz
language : en
Publisher: MDPI
Release Date : 2020-03-13
Signal Processing And Analysis Of Electrical Circuit written by Adam Glowacz and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-13 with Technology & Engineering categories.
This Special Issue with 35 published articles shows the significance of the topic “Signal Processing and Analysis of Electrical Circuit”. This topic has been gaining increasing attention in recent times. The presented articles can be categorized into four different areas: signal processing and analysis methods of electrical circuits; electrical measurement technology; applications of signal processing of electrical equipment; fault diagnosis of electrical circuits. It is a fact that the development of electrical systems, signal processing methods, and circuits has been accelerating. Electronics applications related to electrical circuits and signal processing methods have gained noticeable attention in recent times. The methods of signal processing and electrical circuits are widely used by engineers and scientists all over the world. The constituent papers represent a significant contribution to electronics and present applications that can be used in industry. Further improvements to the presented approaches are required for realizing their full potential.
Cognitive Processing In Behavior Based Perception Of Autonomous Off Road Vehicles
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Author : Patrick Wolf
language : en
Publisher: Patrick Wolf
Release Date : 2022-10-02
Cognitive Processing In Behavior Based Perception Of Autonomous Off Road Vehicles written by Patrick Wolf and has been published by Patrick Wolf this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-02 with Technology & Engineering categories.
This work addresses the environmental recognition of autonomous off-road vehicles. Algorithms, like deep learning, offer impressive performance regarding the classification and segmentation of a scene. However, context changes, scene variabilities, or disturbances pose significant challenges to these approaches and cause perception failures. A challenge is achieving the universal applicability of perception algorithms. Usually, an algorithm fails in particular situations due to unconsidered circumstances in the design phase, and complexity prevents fully considering all details. Accordingly, this thesis aims to increase the perception’s robustness through context and data incorporation. Furthermore, it derives concepts for transferring methods to other robots and scenes. A hint that such a task is achievable provides human cognition, which is remarkably skillful and adjusts to arbitrary situations. Biologically motivated perception and cognitive research indicate how an achievable perception design might function, leading to guidelines for artificial perception conception. The paradigm of behavior-based systems suits these criteria due to modularity, reactivity, and robustness. It allows realizing robust and transferable perception and control systems. Consequently, the thesis proposes a novel and reconfigurable behavior-based top-down and bottom-up perception approach. Quality assessment for data filtering and deviation control is a central aspect, resulting in improved perception and data fusion results. Attentional processing allows for selecting data based on attractiveness, task, environmental context, and history. Further, context assessment of classification results enables reasoning according to the robot’s memories and knowledge. Validation uses five demonstrator vehicles operating in diverse environments and fulfilling distinct tasks. Here, a robust performance was achievable, and perception adjusted well to the tested scenes and hardware layouts.