Shannon Wireless’ Post

Deploying #reconfigurable #intelligent #surfaces (#RISs) near source and destination is of practical interest for improving the link quality of #vehicle-#to-#vehicle (#V2V) wireless systems. However, the accurate channel modeling and RIS tile deployment constitute a pair of challenges to evaluate the system performance, such as error performance, capacity, etc. In this article, the authors investigate the double-RIS channel characteristics and propose a geometry-based triple-cylinder model, where the RIS subsurface/tile is enabled to assist V2V systems and other elements are turned off. To determine tile locations on RIS surface, they formulate an optimization problem by maximizing the end-to-end channel gain and solve it using #gradient #ascent (#GA) method. Following this, channel correlation function, channel capacity, and outage probability are derived according to the proposed model. Five typical mobile scenarios are discussed to validate the convergence of proposed GA algorithm, where the results show that channel gain can converge to its maximum with optimized tile locations. In addition, channel correlation under different parameters and conditions are explored. ---- Guiqi Sun, Ruisi He, Jiancheng An, Bo Ai, Yaxin Song, Yong Niu, Gongpu Wang, Chau Yuen More details can be found at this link: https://lnkd.in/e-N3zzpq

If you missed any #MachineDesign issues in 2023, you can check out them all in this article! #dfx #space #AI #artificialintelligence #sustainability

🌟 Pioneering the Future of High Scale 3D Gaussian Splats! 🚀 The age of 3D Gaussian splats is here, poised to transform the industry. However, with immense potential comes the need for scalability. It's time to refine our acquisition methods, optimize algorithms, and shatter the barriers to introduce large-scale 3D Gaussian splats. Could Nomoko be the trailblazer leading the way? Key insights from experiments with our data: 📌 Drone capture generates an abundance of high-resolution images, posing algorithmic challenges. 📌 Single grid aerial data acquisition falls short in delivering quality results. 📌 Resizing images and focusing on smaller areas doesn't yield significant quality enhancements. Anticipate ongoing tests and experiments as we continue to explore the potential of 3D Gaussian splat technology. If you're as captivated as we are, let's embark on this journey together! Connect with us here: https://lnkd.in/eZZQ-qjZ #Innovation #3DGS #GaussianSplats #FutureOf3D #CollaborationOpportunity

A new approach for human motion reconstruction based on Gaussian Mixture Probability Hypothesis Density (GM-PHD) Filter applied to human joint positions extracted from RGB-D camera (e.g. Kinect) is proposed in this paper. Existing inference approaches require a proper association between measurements and joints, which cannot be maintained in case of the multi-tracking occlusion problem. The proposed GM-PHD recursively estimates the number and states of each group of targets. Furthermore, we embed kinematic constraints in the inference process to guarantee robustness to occlusions. We evaluate the accuracy of both the proposed approach and the default one obtained through a Kinect device by comparing them with a motion analysis system (i.e. Vicon optoelectronic system) even in presence of occlusions of one or more body joints. Experimental results show that the filter outperforms the solution provided by the baseline commercial solution approach available in the Kinect device by reducing the hand position and elbow flexion error of 55.8% and 36.3%, respectively. In addition, to evaluate the applicability of the approach in real-world applications, we employ it in a drone gesture-based context to remotely control a drone. The user is able to move the drone in a target position with a 100% success rate. Have a look at "Robust Upper Limb Kinematic Reconstruction Using a RGB-D Camera" by Salvatore Maria Li Gioi, Giuseppe Loianno and Francesca Cordella recently published in IEEE Robotics and Automation Letters.

Previously, we have covered how to model the reflection of an electromagnetic wave on a surface (Radar Modelling – Reflection of an EM wave). Following up on the modeling of radars, this blog post addresses the antenna beam pattern. AVSandbox - Simulating Autonomy, Testing Reality #simulation #antenna #array #radars #ADAS #autonomousvehicles

Blog 💡 One of the most common (and cheapest) types of antenna are arrays, i.e. a set of radiating elements connected to a transmitter (receiver). In this blog we will explain how they work and how to simulate them. Find out more in our blog - #TheSandbox ↯ https://hubs.la/Q028NX-H0 AVSandbox - Simulating Autonomy, Testing Reality #simulation #antenna #array #radars #ADAS #autonomousvehicle

Our latest paper, "Dynamic Modeling and Sliding Mode Control of an Over-Actuated Quadrotor with Variable Hedral Angle of Propeller Axes," has been published and is now available on IEEE Xplore. This paper represents just a small portion of our extensive work and research on the SAC-1 project which unlocks a new era in aerial robotics. Stay tuned for our upcoming articles if you are a big fan of the intricate world of aerial robotics. 🔗 Link to the paper: https://lnkd.in/gAP5kHbT #AerialRobotics #Robotics #Control #DynamicSystems #IEEE #Hedral

Laser scanning and data processing are revolutionizing our understanding of spatial data, enabling new levels of accuracy and efficiency. These technologies allow us to better understand and manage our environment, contributing to the development of various fields from architecture to ecology. ☑ What is laser scanning? Laser scanning, or LIDAR (Light Detection and Ranging), is a technology that uses laser beams to measure distances to objects. This allows you to create highly accurate three-dimensional models of the environment. The main components of the laser scanning system include: ◼ Laser sensor: Emits pulses of light and captures their reflection. ◼ GPS: Determines the exact location of the scanner. ◼ Inertial navigation system: Helps to track the movement of the scanner. The data processing process includes: ◼ Data filtering: Removal of noise and unnecessary information. ◼ Data alignment: Merging individual scans into a single model. ◼ Classification of objects: Identification and labeling of various objects based on their characteristics. ◼ Visualization: Creation of 3D models, maps and other visual representations of data. Need quality laser scanning on time? Our team is ready to solve any of your tasks, providing accurate results for projects of any complexity. ↘ Contact us to discuss your needs and receive an individual consultation.

#GTC24 was truly an exhilarating experience! Check out this amazing video showcasing the #NanoAR transparent glass holographic display with virtual human reconstruction from #Klleon. The possibilities for this technology are endless! #AR #VirtualReality #InnovativeTechnology

🔊✨Exploring Cymatics: The Craft of Sound Visualization ✨🏊 Cymatics is the fascinating study of sound as it is generated. By observing how sound waves create intricate patterns in physical mediums, Cymatics bridges the gap between science and art. 🔍 Why This Is Important: ◽ Visualizes Sound: Makes sound waves' underlying beauty visible. ◽ Inspires Art: Encourages inventiveness in the visual and musical arts. ◽ Contributes to Science: Facilitates the investigation of acoustics and wave phenomena. ◽ Enhances Well-Being: Examines the uses of therapeutic sound. #cymatics #SoundScience #ArtAndScience #innovation #creativity #technology #letsconnect #future #engineering #research #science #design #energy #greenenrgy #hydropower #electricity #powergeneration #renewableenergy #letsconnect #infrastructure #project #civil #physics #education #knowledge #Aviation #eVTOL #Drones #Airports #structural #aerodynamic #agriculture #farming #sustainability #innovationvoice #innovative #materials #retail #storedesign #branding #customerexperience #robotics #AI #automation