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3D projection on a 2D plane

https://share.summari.com/questions23057923d-projection-on-a-2d-plane-weak-maths-ressources?utm_source=Mobile

• based on optics, and (linear) algebra
• Do not bother with Euler angles or Tait-Bryan angles
• Learn about versors or unit quaternions that represent rotations
• You can easily interpolate between different versors, for example to simulate a camera panning and rotating from one orientation to the next
• For computation, you expand (convert) the versor to a 3×3 rotation matrix

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Plenoxels: Radiance Fields without Neural Networks

Alex Yu∗ Sara Fridovich-Keil∗ Matthew Tancik Qinhong Chen

Benjamin Recht Angjoo Kanazawa

UC Berkeley

Abstract

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Simultaneous Localization and Mapping for event-based Vision Systems

Simultaneous Localization and Mapping for event-based Vision Systems.md · GitHub

https://share.summari.com/vuvitaeaf1f0d677409ad66826aca84e82d7419?utm_source=Chrome

• A novel method for vision based simultaneous localization and mapping (vSLAM) using a biologically inspired vision sensor that mimics the human retina
• The sensor consists of a 128x128 array of asynchronously operating pixels, which independently emit events upon a temporal illumination change
• vSLAM algorithm operates on individual pixel events and generates high-quality 2D environmental maps with precise robot localizations

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REVIEW published: 25 October 2018 doi: 10.3389/fnins.2018. Edited by: Timothy K. Horiuchi, University of Maryland, College Park, United States Reviewed by: Timothée Masquelier, Centre National de la Recherche Scientifique (CNRS), France Priyadarshini Panda, Purdue University, United States *Correspondence: Michael Pfeiffer michael.pfeiffer3@de.bosch.com

Specialty section: This article was submitted to Neuromorphic Engineering, a section of the journal Frontiers in Neuroscience Received:22 May 2018 Accepted:04 October 2018 Published:25 October 2018 Citation: Pfeiffer M and Pfeil T (2018) Deep Learning With Spiking Neurons: Opportunities and Challenges. Front. Neurosci. 12:774. doi: 10.3389/fnins.2018. # Deep Learning With Spiking Neurons:

Opportunities and Challenges

Michael Pfeiffer*and Thomas Pfeil Bosch Center for Artificial Intelligence, Robert Bosch GmbH, Renningen, Germany ### Spiking neural networks (SNNs) are inspired by informationprocessing in biology, where

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Neuromorphic Engineering Needs Closed-Loop Benchmarks

Clip source: Summary of - Neuromorphic Engineering Needs Closed-Loop Benchmarks

Neuromorphic Engineering

• The performance of neuromorphic systems should be evaluated in terms of real-time operation, power consumption, and resiliency to real-world perturbations and noise using task-relevant evaluation metrics
• Most neuromorphic benchmarks rely on recorded datasets that foster sensing accuracy as the primary measure for performance
• Sensing accuracy is only a proxy for the actual system's goal-taking a good decision in a timely manner

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Mobile Edge Intelligence and Computing for the Internet of Vehicles

Jun Zhang, Khaled B. Letaief

Abstract—The Internet of Vehicles (IoV) is an emerging paradigm, driven by recent advancements in vehicular communications and networking. Advances in research can now provide reliable communication links between vehicles, via vehicle-to-vehicle communications, and between vehicles and roadside infrastructures, via vehicle-to-infrastructure communications. Meanwhile, the capability and intelligence of vehicles are being rapidly enhanced, and this will have the potential of supporting a plethora of new exciting applications, which will integrate fully autonomous vehicles, the Internet of Things (IoT), and the environment. These trends will bring about an era of intelligent IoV, which will heavily depend upon communications, computing, and data analytics technologies. To store and process the massive amount of data generated by intelligent IoV, onboard processing and Cloud computing will not be sufficient, d

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Mobile Edge Intelligence and Computing for IoV

Mobile Edge Intelligence and Computing

https://share.summari.com/vuvitaed1e7b2c5a93e8668bc286eaa8e55c50a?utm_source=Chrome

• Dtore and process the massive amount of data generated by intelligent IoV
• Deploying storage and computing resources at the wireless network edge, e.g., radio access points, the edge information system (EIS), including edge caching, edge computing, and edge AI, will play a key role in the future intelligent IoVs
• System will provide not only low-latency content delivery and computation services, but also localized data acquisition, aggregation and processing

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Edge Computing for IoT-Enabled Smart Grid

https://share.summari.com/journalsscn20215524025?utm_source=Mobile

• Smart grid is a new vision of the conventional power grid to integrate green and renewable technologies
• increased by smart embedded devices that have intelligent decision-making ability
• sensors and data sources will collect data of high resolution
• the vital challenges for IoT is to manage a large amount of data produced by sensors
• issue is addressed by edge computing (EC).

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Towards 6G-Enabled Internet of Vehicles

Towards 6G-Enabled Internet of Vehicles.md · GitHub

https://share.summari.com/vuvitaeecf39e2739d27d608b869ce06d436eea?utm_source=Chrome

• 6G will be a prominent supporter for the evolution towards a truly Intelligent Transportation System and the realization of the Smart City concept by fulfilling the limitations of 5G
• Providing security and privacy to critical systems should be a top priority as vulnerabilities can be catastrophic
• There are huge concerns regarding data collected from sensors, people and their habits

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Integrated Sensing and Communications:

Integrated Sensing and Communications.md · GitHub

https://share.summari.com/integrated-sensing-and-communicationsmd-github?utm_source=Chrome

The Goal of Integrated Sensing and Communications (ISAC) is to Unify These Two Operations

• ISAC is expected to improve spectral and energy efficiencies, while reducing both hardware and signaling costs