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Author: Ninos, Alexandros Publisher: KIT Scientific Publishing ISBN: 3731512254 Category : Technology & Engineering Languages : en Pages : 164
Book Description
The aim of this work is the development of a Radar system for consumer applications. It is capable of tracking multiple people in a room and offers a touchless human-machine interface for purposes that range from entertainment to hygiene.
Author: Ninos, Alexandros Publisher: KIT Scientific Publishing ISBN: 3731512254 Category : Technology & Engineering Languages : en Pages : 164
Book Description
The aim of this work is the development of a Radar system for consumer applications. It is capable of tracking multiple people in a room and offers a touchless human-machine interface for purposes that range from entertainment to hygiene.
Author: Wenxing Fu Publisher: Springer Nature ISBN: 981990479X Category : Technology & Engineering Languages : en Pages : 3985
Book Description
This book includes original, peer-reviewed research papers from the ICAUS 2022, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2022 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.
Author: Diewald, Axel Publisher: KIT Scientific Publishing ISBN: 3731512963 Category : Languages : en Pages : 190
Book Description
Radar target simulators (RTSs) deceive a radar under test (RuT) by creating an artificial environment consisting of virtual radar targets. In this work, new techniques are presented that overcome the rasterization deficiency of current RTS systems and enable the generation of virtual targets at arbitrary high-precision positions. This allows for continuous movement of the targets and thus a more credible simulation environment.
Author: Lars J. Foged Publisher: Artech House ISBN: 163081850X Category : Technology & Engineering Languages : en Pages : 281
Book Description
This book provides practical and theoretical aspects for automotive antenna measurements. It comprehensively covers all the information you need to design, develop, place, and use antennas and antenna systems in automotive applications. Special chapters are devoted to some of the most advanced topics in this area, including OTA measurements for Vehicle to Everything (V2X) applications, emulation of virtual drive testing, and specific topics for measurements of automotive RADAR systems. You will understand the various measurement techniques specifically for automotive antennas, including chamber design, absorbers, near-to-far field transformation, and some of the newest techniques such as the use of drones. The book presents both well accepted and standard practices and includes innovative methods that help you quickly adapt to the rapidly evolving field of automotive antenna testing today. This is an excellent reference for antenna engineers, automotive system designers, and anyone who measures and designs antennas for automotive applications.
Author: Abadpour, Sevda Publisher: KIT Scientific Publishing ISBN: 3731513161 Category : Languages : en Pages : 194
Book Description
During the evolvement of autonomous driving technology, obtaining reliable 3-D environmental information is an indispensable task in approaching safe driving. The operational behavior of automotive radars can be precisely evaluated in a virtual test environment by modeling its surrounding, specifically vulnerable road users (VRUs). Such a realistic model can be generated based on the radar cross section (RCS) and Doppler signatures of a VRU. Therefore, this work proposes a high-resolution RCS measurement technique to determine the relevant scattering points of different VRUs.
Author: Shiqi Yu Publisher: Springer Nature ISBN: 3031189108 Category : Computers Languages : en Pages : 737
Book Description
The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
Author: Matt Markel Publisher: Artech House ISBN: 1630818976 Category : Technology & Engineering Languages : en Pages : 360
Book Description
This is the first book to bring together the increasingly complex radar automotive technologies and tools being explored and utilized in the development of fully autonomous vehicles – technologies and tools now understood to be an essential need for the field to fully mature. The book presents state-of-the-art knowledge as shared by the best and brightest experts working in the automotive radar industry today -- leaders who have “been there and done that.” Each chapter is written as a standalone "master class" with the authors, seeing the topic through their eyes and experiences. Where beneficial, the chapters reference one another but can otherwise be read in any order desired, making the book an excellent go-to reference for a particular topic or review you need to understand. You’ll get a big-picture tour of the key radar needs for fully autonomous vehicles, and how achieving these needs is complicated by the automotive environment’s dense scenes, number of possible targets of interest, and mix of very large and very small returns. You’ll then be shown the challenges from – and mitigations to – radio frequency interference (RFI), an ever-increasing challenge as the number of vehicles with radars – and radars per vehicle grow. The book also dives into the impacts of weather on radar performance, providing you with insights gained from extensive real-world testing. You are then taken through the integration and systems considerations, especially regarding safety, computing needs, and testing. Each of these areas is influenced heavily by the needs of fully autonomous vehicles and are open areas of research and development. With this authoritative volume you will understand: * How to engage with radar designers (from a system integrator / OEM standpoint); * How to structure and set requirements for automotive radars; * How to address system safety needs for radars in fully autonomous vehicles; * How to assess weather impact on the radar and its ability to support autonomy; * How to include weather effects into specifications for radars. This is an essential reference for engineers currently in the autonomous vehicle arena and/or working in automotive radar development, as well as engineers and leaders in adjacent radar fields needing to stay abreast of the rapid developments in this exciting and dynamic field of research and development.
Author: Shai Avidan Publisher: Springer Nature ISBN: 3031198425 Category : Computers Languages : en Pages : 785
Book Description
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Author: Ninos, Alexandros
Author: Ninos, Alexandros
Author: Wenxing Fu
Author: Diewald, Axel 
Author: IEEE Staff
Author: Lars J. Foged
Author: Abadpour, Sevda
Author: Shiqi Yu
Author: Matt Markel
Author: S. D. Prabu Ragavendiran
Author: Shai Avidan