An update on Drone Regulations - EU U-Space & US UTM update delivered at CIGRE Israel UAV Seminar on 30th July in Tel Aviv.
Posted as is without audio.
For any comments/questions, contact me on LinkedIN or Twitter.
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Kevin O'Donovan discusses using drones in utilities. Common current use cases include inspecting assets, ground surveys, monitoring vegetation and site security. Workflow involves automated flight and image processing to extract data. Challenges include integrating drone data into existing systems, data volume, regulatory issues, and social acceptance. Future applications may involve crawlers, robots, indoor drones, swarms, high-altitude drones, satellites, underwater drones and driverless vehicles to expand inspection capabilities.
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This document proposes a threat detection system using a camera-equipped drone and deep learning. The system has two main modules: 1) A threat detector module that uses the YOLO object detection algorithm to detect threats in video frames captured by the drone camera. 2) A threat identifier module that uses a convolutional neural network to identify the specific type of any threats detected. The system is designed to run on computing hardware on the drone and report detections to a ground control station. Experimental results show the threat detector module can accurately detect threats in test images not used for training.
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Drones and their Increasing Number of ApplicationsJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how drones are becoming economic feasible for an increasing number of applications as their costs fall. The costs of drones are falling as the costs of various ICs (controllers, GPS) and MEMS sensors rapidly fall, their performance rises (e.g., accuracy of GPS) and as the cost of carbon fibers fall at a somewhat slower pace than do ICs and MEMS. These falling costs are making drones economically feasible for a number of applications such as producing movies, TV reporting, surveillance, and delivery.
This document summarizes a research paper on drone delivery systems. It discusses how online shopping and delivery is increasingly relying on fast doorstep delivery. Drone delivery could allow for accelerated delivery times, improved accuracy, and reduced human costs compared to traditional delivery methods. The system is designed using a Naza M-lite flight controller, ESC (electronic speed controller), and GPS module. It then reviews related work on using drones for medical supply delivery in disaster relief situations and for agricultural purposes like plant protection.
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This document summarizes a project using drones for systematic bridge inspections. The goals of the project are to plan inspection flights, fly drones around bridge structures to acquire 3D data, support ground staff with real-time data, store collected data, and systematically evaluate it to increase repeatability. The project aims to make inspections safer, less time-consuming and costly compared to current climbing methods. Participating organizations are developing technologies for drone positioning without GPS, collision avoidance and data analysis to enable precise inspections. The technology has potential to impact inspections of thousands of bridges requiring maintenance with estimated cost and time savings.
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This presentation was given to Florida URISA via webinar on February 13, 2014 by Bill Emison, Senior Account Manager for Merrick & Company of Greenwood Village, Colorado. The purpose of this webinar was to provide an objective and practical review of current unmanned airborne mapping capabilities in the United States.
The document outlines the development timeline of an autonomous drone system called Skynet. Over several weeks, the Skynet team conducted customer interviews with Special Operations Forces to understand their needs and pain points. Based on feedback that operators wanted increased situational awareness without additional cognitive load, the team explored using computer vision to automatically detect and track humans in drone video feeds. They refined their solution to integrate with the ATAK mapping software and explored funding options like SBIR grants. The document shows the team's progress in iterating their product based on user research and technical feasibility.
The document discusses unmanned aerial vehicles (UAVs) and multi-UAV systems. It provides background on different types of flying machines, including fixed-wing aircraft, helicopters, and multirotors. Multirotors have become popular due to several technological revolutions that made their components smaller, lighter, and more powerful. The document then covers multirotor basics, including their reference systems, common airframe designs, and how thrust and rotational motions are achieved by modulating the speeds of multiple synchronized rotors.
The document discusses security issues in cyber-physical systems and proposes enforcing sensor network theory, information flow-based theory, and control theory to develop security policies and mechanisms for cyber-physical systems. It categorizes different types of attacks based on these three approaches and discusses mitigations to improve cyber-physical system security and allow their continued growth. The document defines cyber-physical systems as integrated computational and physical processes that sense, interact with, and control physical entities using communication, computation, and feedback control.
The document summarizes the third and final pilot demonstration of the ZONeSEC project. The pilot took place in Athens, Greece and involved detecting physical and cyber threats across multiple locations over 40 km using various sensors integrated into the ZONeSEC system. This included detecting intrusions, drone surveillance, and fusion of data sources. The pilot successfully showcased the full capabilities of the ZONeSEC system and its ability to securely monitor wide areas and critical infrastructure.
This brief was given to Industry by Terry Martin at Nova Systems, during the UTM Trials held in May 2017. The brief includes a selection of the slides describing the trial management activities that Nova was responsible for
Unmanned aerial vehicles (UAVs), also known as drones, provide a low-cost platform for aerial photography, mapping, and remote sensing applications. They can carry various sensor payloads and be used for infrastructure inspection, wildlife monitoring, search and rescue operations, and more. Regulations currently require certification to operate drones commercially, but their utility is driving efforts to expand approved uses. This document discusses various drone types, payloads, examples of applications, and the training and equipment required.
Fabrication of Customized Surveillance & Night Vision Patrolling DroneIRJET Journal
This document presents the development of an autonomous quadcopter drone equipped with a night vision camera for security surveillance purposes. The drone is designed to be affordable and efficient. It utilizes an APM 2.8 flight controller and can be controlled wirelessly to navigate pre-planned missions without human intervention. The night vision camera allows the drone to perform surveillance day or night. The mission planner software enables the drone to autonomously follow mapped waypoints and provides real-time flight data. Overall, the drone aims to provide a better and safer security surveillance system through autonomous monitoring of large areas.
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Federal Aviation Administration (FAA) is responsible for overseeing the US National Airspace System, which comprises ATC systems, procedures, facilities, and aircraft, and the people who operate them. FAA is implementing Next Generation Air Transportation System (NextGen) to move the current radar-based air-traffic control (ATC) system to one that is based on satellite navigation and automation. It is essential that FAA ensures effective information-security controls are incorporated in the design of NextGen programs to protect them from threats. This talk discusses the threats FAA faces and the cyber security controls adopted by FAA in implementation of these NextGen Air Transportation System.
The January/February 2014 issue of FAA Safety Briefing explores the important role technology plays in keeping general aviation safe and efficient. Articles discuss the many benefits of emerging technologies as well as the potential safety hazards of being too technologically focused.
The State of Drone Security – Analysing 1000+ drone incidents (Mike Monnik) -...DroneSec
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Talk Recording: https://www.youtube.com/watch?v=-zuJerGWTWs
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Speaker: https://www.linkedin.com/in/mike-monnik-23026a75/
DroneSec is a cyber-uav security and threat intelligence company who hosted this second series of the GDSN community event.
https://dronesec.com/
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An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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2. @Kevin_ODonovan
Update on U-space & UTM …
What’s the problem statement
RPAS, UTM & U-space level set
UTM Architecture
Current Roadmap’s
Meanwhile in the real world …
Future ‘features’
Some useful resources
4. @Kevin_ODonovan
RPAS / UTM / U-space … Level set …
TERM RPAS UTM U-space
Definition Remotely Piloted
Aircraft System
Unmanned Aircraft
System Traffic
Management
A set of services
A framework
Responsibility International Civil
Aviation Authority
(ICAO)
500ft to 60,000ft
US Federal Aviation
Authority (FAA)
SESAR JU on U-space
Plan Roadmap - Phases 1 to
3
NASA – UTM TLC 1 to 5 Roadmap U1 to U4
Latest News May 2018 – 10
Integration Pilot
Programs Selected
July 18 – Pilots
programs to be
from submissions
6. @Kevin_ODonovan
EU’s U-Space Roadmap
Source : EU SESAR JU European ATM Master Plan
U1: e-Registration, e-ID, pre-tactical geofencing
U2: Tactical geofencing, Trackin, Flight planning
Mgmt, Weather Info, traffic Info, Procedural
interface to ATC
U3: Dynamic Geofencing, Collobratative interface
with ATC, Tactical deconfliction, Dynamic Capacity
Mgmt.
U4: Full integration of manned aviation, ATM and
U-Space
7. @Kevin_ODonovan
US UTM Roadmap
FAA has selected 10 IIP’s
in May 2018
https://www.faa.gov/uas/programs_partner
ships/uas_integration_pilot_program/award
ees/
Source : NASA FAA UTM Research Plan
8. @Kevin_ODonovan
Registration & Flight Plan Approval
Ad-hoc across the EU today … can take weeks/months for approval
Almost all Utilities have Drone ‘test’ / proof of concept / trials ongoing
In the US
Section 333 Exemption (many now expiring)
FAA Part 107 (remote pilot certificate)
Low Altitude Authorization and Notification Capability (L.A.A.N.C.)
10. @Kevin_ODonovan
Future ‘features’
1. Global VS Country VS State VS City VS Community … who decides?
2. Flight Logs / Compliance
3. Regulation Enforcement – Anti Drone procedures / technologies
4. Technology maturity – position accuracy, real-time ID, tracking. detect/avoid, ‘kill
switch’
5. A ‘system of systems’ with different technologies can lead to interoperability
issues
6. Cybersecurity – More systems, more attack surfaces for the bad guys
7. The Business model for UTM / U-space may vary
8. Drone Pollution – Emissions, Noise, Visual … Social acceptance issues