𝗨𝗔𝗩-𝗮𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗔𝗰𝗰𝗶𝗱𝗲𝗻𝘁 𝗔𝗹𝗲𝗿𝘁𝘀 𝗶𝗻 𝗩𝗔𝗡𝗘𝗧𝘀: 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 Vehicular Ad-hoc Networks (VANETs) are improving road safety by enabling communication between vehicles (V2V) and between vehicles and infrastructure (V2I). In emergency scenarios like accidents, this V2V and V2I communication reduces response times, decreases congestion, and enhances overall safety. Using NetSim-SUMO interfacing, we explore a research project in which VANETs communicate accident alerts in real-time using UAVs (drones). When an accident occurs, the affected vehicle sends a message to a UAV, which then broadcasts the alert to vehicles within its range, allowing them to reroute and avoid the incident; this enhances road safety and traffic efficiency. 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: • 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗦𝗲𝘁𝘂𝗽: Realistic road scenarios are crafted using NetEdit/SUMO and then interfaced with NetSim. • 𝗔𝗰𝗰𝗶𝗱𝗲𝗻𝘁 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻: Accidents are simulated by initiating collisions between two vehicles using SUMO's TraCI APIs. • 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗨𝗔𝗩 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: The accident vehicle communication an alert to a UAV, and continue to transmit real-time status updates. • 𝗔𝗰𝗰𝗶𝗱𝗲𝗻𝘁 𝗔𝗹𝗲𝗿𝘁 𝗦𝘆𝘀𝘁𝗲𝗺: The UAV detects the accident, and broadcasts immediate alerts to all vehicles in the network, facilitating vehicle rerouting. 🔗 Learn more: https://lnkd.in/eSRcaXFT 🌐 Detailed documentation of VANETs: https://lnkd.in/gksgyJVH
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🔍🚁 Why Robotics are Essential for Internal Tank Inspections At Air Control Entech, we prioritise safety and efficiency in all our inspections. The image below shows a severely degraded support for a tank roof—a stark reminder of why thorough and regular inspections are crucial for maintaining the integrity of these structures. Challenges in Inspecting Internal Tank Supports: #ConfinedSpaces: Accessing internal supports can be dangerous and difficult for human inspectors. #Safety Hazards: Degraded structures pose significant risks, including potential collapse or exposure to hazardous materials. Comprehensive Coverage: Manual inspections often struggle to provide a complete assessment of hard-to-reach areas. How Robotics Revolutionise Tank Inspections: Advanced UAVs: Our Unmanned Aerial Vehicles (UAVs) are equipped with high-resolution cameras and sensors, enabling detailed and accurate inspections of internal tank components. Enhanced Safety: By deploying UAVs, we minimise the need for personnel to enter confined and hazardous spaces, significantly reducing risk. Efficient Assessments: UAVs can quickly and effectively navigate complex tank interiors, providing comprehensive coverage in a fraction of the time required for manual inspections. Real-Time Data: The data and visuals collected by our UAVs allow for immediate analysis, ensuring any issues are promptly identified and addressed. Preventive Maintenance: Regular UAV inspections help in early detection of structural degradation, facilitating timely #maintenance and preventing costly repairs or catastrophic failures. #NDT: Drones can be equipped with #UT probes to provide wall thickness measurements throughout the tank. By leveraging advanced #robotics for internal tank #inspection, Air Control Entech ensures the highest standards of safety, quality, and efficiency. Interested in learning more about how our #UAV solutions can enhance your inspection processes? Connect with us today!
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I think this is underestimating the UAV growth trajectory. As AI enables more UAV automation, applications that require an automated move-sense-act workflow will grow. Applications for recon, SAR, security, autonomous delivery, and other automated missions will create growth beyond traditional applications.
𝐒𝐦𝐚𝐥𝐥 𝐔𝐀𝐕 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐜𝐭𝐞𝐝 𝐭𝐨 𝐛𝐞 𝐚 𝐥𝐞𝐚𝐝𝐞𝐫 𝐢𝐧 𝐫𝐞𝐯𝐞𝐧𝐮𝐞 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐢𝐧𝐠 𝐲𝐞𝐚𝐫𝐬 The Small UAV Market is set to grow from $3.8 billion in 2023 to $9.5 billion by 2033, at a CAGR of 9.7%. This market includes unmanned aerial vehicles under 25 kg, widely used across agriculture, defense, and logistics for tasks like surveillance, mapping, and deliveries. Growth is driven by technological innovations, expanding commercial uses, and supportive regulations for drones. Key trends include advancements in autonomous systems, integration with data analytics, and the development of lightweight, versatile drones. The outlook remains promising, as industries continue to embrace UAVs for enhanced operational efficiency and data collection. Request a sample :-https://lnkd.in/dTdV-TQS {Only corporate Email IDs will be considered} The small UAV market is rapidly advancing due to technological innovation and rising demand in agriculture, logistics, and surveillance. Models range from $500 to $5,000, with demand fueled by the efficiency and cost benefits UAVs bring to these sectors. Evolving regulations worldwide are shaping market entry and operation strategies, ensuring safe UAV use. Key trends driving market growth include miniaturization, extended battery life, AI integration for real-time data processing, and eco-friendly designs like solar-powered UAVs. Companies like DJI and Parrot are leading in features such as obstacle avoidance and automated flight paths. Additionally, 5G network expansion is enhancing UAV communication, enabling complex operations. Supply chain challenges, especially in semiconductors, impact production and pricing, while collaborative ventures are creating niche applications. This robust growth trajectory suggests substantial innovation and market expansion ahead. #SmallUAV #DroneTechnology #AerialSurveillance #AIIntegration #EcoFriendlyTech #LogisticsInnovation #AgricultureTech #5GInnovation #UAVMarket #DronesForGood #TechnologyAdvancements #SmartAgriculture #LogisticsSolutions #SustainableTech #Drones #UAVs #BatteryTech #RegulatoryCompliance Pic Credit: Pro_Vector // Shutterstock
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🚀 Leading the Future of Drone Technology at Afcones Infratech 🌍✨ Drones are not just a trend—they're a game-changer across industries, and at Afcones Infratech, we're at the forefront of this transformative technology. Here’s how we’re pushing the boundaries and adding value: 🔹 Customized Solutions: At Afcones Infratech, we specialize in developing customized drone solutions tailored to meet the unique needs of our clients. Whether it's integrating specialized sensors, developing proprietary software for data analysis, or designing drones for specific operational environments. 🔹 Advanced Payload Capabilities: Our drones are equipped with state-of-the-art payloads that go beyond standard cameras. From LiDAR and multispectral sensors for environmental monitoring to high-resolution thermal imaging for infrastructure inspection. 🔹 Autonomous Operations: We're pioneering autonomous drone operations with cutting-edge AI and machine learning algorithms. 🔹 Data Security and Compliance: We prioritize data security and regulatory compliance in all our drone operations. 🔹 Industry Partnerships and Innovation: Collaborating with industry leaders and research institutions, we stay at the forefront of technological advancements in drone technology. Let’s build a smarter, safer, and more connected world together. #Afcones Infratech #Drones #UAV #TechInnovation #DroneTech #FutureTech #Agriculture #Logistics #Innovation #AI #Robotics #Construction #SmartCities #Technology #Mapping #DataCollection Information: https://lnkd.in/gAMdCJKz info@afconesinfra.com
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Some interesting points made by Justin Tooth concerning the advances in Drone technology and where we are in comparative terms to the advances made in motor vehicle technology in the early years of the twentieth century.
More droning on from me. The main point I wanted to make in today's @FT @FinancialTimes published letter (16 Dec 2024) was not about UAVs in WW1, but that we are still on the comparatively flat part of the UAV development cycle. Hence my comment that "If drones were cars, then ... we are probably in about 1901", is highlighting (exactly as with cars in 1901) that we are still making early experiments and inventions in the vehicles themselves, slowly discarding some of the original easy first-mover technologies, discovering real-world limits and, most critically, working through all the second-order problems: safety, regulations, environment, DLODs, etc. In 1901, electric cars were still popular for short-ranges in towns but IC engines were just becoming dominant. There were reliable, hardened roads only in urban areas. Regulations were inconsistent, confusing or ignored. Cars were still a novelty and viewed widely with concern. It took another decade for these particular issues to be resolved and acquisition costs to be driven down by the first mass production. One day, we will look out of our windows and see Uncrewed Air Vehicles flying approved deliveries and many other missions overhead people and property. In 1901, the US Army tested its first motor vehicle; indeed defence drove many of the key developments in all forms of automobiles. Similarly, defence is leading UAV development and will continue to lead for a good while yet. Fortunately, investing in defence-driven technologies is no longer considered a bad thing by most; indeed defence has outperformed.
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Acquisition and development of technology licenses for manufacturing in defense, logistics and energy products.
AIG and Skyborne Technology announce winter 2025 groundbreaking of large scale hanger facility and digital design manufacturing for integrating drones, SVTOL and its Lighter than Air vehicles. https://lnkd.in/enbmZmFG
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As a physicist engineering student and researcher specializing in Autonomous Navigation, I am passionate about the advancements in drone technology. Autonomous navigation is transforming the way drones operate, making them more efficient and versatile across various applications. Key highlights include: - Technological Foundations: Utilizing Visual-Inertial Odometry (VIO), Lidar Odometry, and Simultaneous Localization and Mapping (SLAM) to enable precise and reliable autonomous flight. - Applications: From agriculture and environmental monitoring to logistics and search and rescue, autonomous drones are revolutionizing these sectors with enhanced capabilities. - Practical Implementation: Leveraging tools like ROS2, Gazebo, and Docker to simulate and test UAV navigation, ensuring robust and scalable solutions. At Núcleo de Robótica Pequi Mecânico and Centro de Excelência em Inteligência Artificial (CEIA), I've been deeply involved in developing and testing these technologies. Our work focuses on creating innovative solutions for real-world challenges, pushing the boundaries of what autonomous drones can achieve. The potential of autonomous navigation in drones is immense, paving the way for innovative applications and improved operational efficiency. I am excited to be part of this dynamic field and look forward to contributing to its growth and development. #Drones #AutonomousNavigation #Robotics #Technology #Innovation
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Commercial construction operations face significant challenges during site inspections, including safety hazards, time constraints, and difficulties in accessing hard-to-reach areas. Traditional inspection methods tend to be labor-intensive and often result in substantial downtime, which can negatively impact project timelines and costs. However, the integration of UAV operations is transforming how we approach site inspections in the construction industry. Small unmanned aerial vehicles operated on construction teams can achieve remarkable efficiencies. For instance, drones equipped with high-resolution cameras and LiDAR technology can quickly survey vast areas and capture detailed images and 3D models of the site. This allows project managers to monitor progress and identify potential issues in real time, rather than waiting for manual inspections to be completed. In terms of operational efficiency, the time savings can be staggering. Drones can reduce inspection time by up to 75% by enabling quick aerial assessments that would typically require hours or even days if conducted manually. For example, where a ground crew might need to spend a full day inspecting a multi-story building, a drone can cover the same area in just a couple of hours, allowing for multiple inspections in a single day. This rapid data collection means that construction teams can address issues immediately, enhancing decision-making and reducing delays. Moreover, the use of sUAVs in environmentally-friendly construction projects supports sustainable practices. With drones, teams can optimize resource management and minimize waste, ultimately leading to more responsible construction practices. Embracing drone technology not only streamlines inspections but also paves the way for improved project outcomes and environmentally-conscious methodologies within the construction sector. #DroneTechnology #UAV #Construction #SiteInspection #CommercialConstruction #SustainableBuilding #AerialSurvey #Efficiency #Innovation #SafetyFirst #EnvironmentalImpact #ConstructionTech
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The era of Machine-to-Machine Communication is being ushered in at Eurosatory in Paris. We are advancing this technology with our 𝐔𝐱𝐒 𝐁𝐫𝐚𝐢𝐧™ 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤. Enhance your current software solution with our framework in no time flat and become a pioneer in this technology. Enable large-scale Machine-to-Machine communication with a unified human-machine interface and orchestrate autonomous missions across multiple domains. Framework Benefits: ▶ Robotics platform and sensor agnostic ▶ Integrated framework approach ▶ Low-latency class-to-class times ▶ Robust API's & SDK's #Autonomy #Innovation #Tech #Drones #GroundRobots Source: https://lnkd.in/dJwczBM5
Ground robots hauling drones into battle is a trend at Paris arms fair
defensenews.com
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Blockchain & AI Enthusiast | Captain of STEAM Club | Co-Founder of Upskill Study Academy | Web Developer | Building Developers' Exchange
𝐃𝐚𝐲 15/100 – 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐃𝐫𝐨𝐧𝐞𝐬: 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐞𝐫𝐢𝐚𝐥 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 🚁✨ 🌟 Did you know that autonomous drones are set to revolutionize industries from 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲 to 𝐝𝐢𝐬𝐚𝐬𝐭𝐞𝐫 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞? With advancements in 𝐀𝐈 and 𝐫𝐨𝐛𝐨𝐭𝐢𝐜𝐬, these high-flying machines are becoming smarter and more capable than ever! Leading companies like Amazon are pioneering the use of drones for package delivery, significantly reducing delivery times and carbon footprints. Meanwhile, DJI is pushing the envelope with drones equipped for everything from aerial photography to agricultural monitoring. 🌱 🤖 𝐖𝐡𝐚𝐭’𝐬 𝐛𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐢𝐬 𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧? AI algorithms enable drones to navigate complex environments, avoiding obstacles and making real-time decisions. This capability is transforming sectors like 𝐬𝐞𝐚𝐫𝐜𝐡 𝐚𝐧𝐝 𝐫𝐞𝐬𝐜𝐮𝐞, where drones can quickly assess 𝐝𝐢𝐬𝐚𝐬𝐭𝐞𝐫 𝐳𝐨𝐧𝐞𝐬 and deliver 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐬𝐮𝐩𝐩𝐥𝐢𝐞𝐬 without putting human lives at risk. 💡 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐢𝐧𝐠 𝐈𝐧𝐬𝐢𝐠𝐡𝐭: The integration of machine learning allows drones to improve their performance over time, learning from their surroundings and adapting to new challenges. 𝒎𝒂𝒈𝒊𝒏𝒆 𝒂 𝒇𝒖𝒕𝒖𝒓𝒆 𝒘𝒉𝒆𝒓𝒆 𝒕𝒉𝒆𝒔𝒆 𝒅𝒓𝒐𝒏𝒆𝒔 𝒄𝒐𝒖𝒍𝒅 𝒂𝒖𝒕𝒐𝒏𝒐𝒎𝒐𝒖𝒔𝒍𝒚 𝒓𝒆𝒄𝒐𝒏𝒇𝒊𝒈𝒖𝒓𝒆 𝒕𝒉𝒆𝒊𝒓 𝒓𝒐𝒖𝒕𝒆𝒔 𝒃𝒂𝒔𝒆𝒅 𝒐𝒏 𝒕𝒓𝒂𝒇𝒇𝒊𝒄, 𝒘𝒆𝒂𝒕𝒉𝒆𝒓, 𝒐𝒓 𝒆𝒗𝒆𝒏 𝒄𝒉𝒂𝒏𝒈𝒊𝒏𝒈 𝒅𝒆𝒍𝒊𝒗𝒆𝒓𝒚 𝒑𝒓𝒊𝒐𝒓𝒊𝒕𝒊𝒆𝒔! The question now is—how will 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐝𝐫𝐨𝐧𝐞𝐬 reshape our daily lives and the way we interact with technology? 🔭 𝐖𝐡𝐚𝐭 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐝𝐨 𝐲𝐨𝐮 𝐬𝐞𝐞 𝐟𝐨𝐫 𝐝𝐫𝐨𝐧𝐞𝐬 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲? 𝐋𝐞𝐭’𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬! 👉 https://lnkd.in/eYcUJaMq 👉 Join my Tech-Based Community: DEVELOPERS' EXCHANGE [https://lnkd.in/gM4D4-EX] #AutonomousDrones #AIFuture #DroneTechnology #InnovationInDelivery #AIinAction #DJI #AmazonDrones #TechTrends
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In today’s “Research Spotlight,” we feature, “Towards Trajectory Prediction-based UAV Deployment in Smart Transportation Systems" by Fan Liang, Xing Liu, Nuri Alperen Kose, Kubra Gundogan and Wei Yu. A smart transportation system (i.e., intelligent trans- portation system) refers to a transportation critical infrastructure system that integrates advanced technologies (e.g., networking, distributed computing, big data analytics, etc.) to improve the efficiency, safety and sustainability of the transportation system. However, the rapid increase in the number of vehicles on roads and significant fluctuations in the flow of traffic can cause the coverage holes of Road Side Units (RSUs) and local traffic overload in smart transportation systems, which can negatively affect the performance of systems and causes accidents. To address these issues, deploying Unmanned Aerial Vehicles (UAVs) as mobile RSUs is a viable approach. Nonetheless, how to deploy UAVs to the optimal position in the smart transportation system remains an unsolved issue. This paper proposes a Vehicle Trajectory-based Dynamic UAV Deployment Algorithm (VTUDA). The VTUDA utilizes vehicle trajectory prediction information to improve the efficiency of UAV deployment. Liang, F., Liu, X., Kose, N. A., Gundogan, K., Yu, W. (2023) Towards Trajectory Prediction-based UAV Deployment in Smart Transportation Systems. (Report No. IHS/CR-2023-1010). The Sam Houston State University Institute for Homeland Security. Click here to read the paper in its entirety: https://lnkd.in/g4-ys-4b The SHSU Institute for Homeland Security hosts technical paper series on our website, ihsonline.org. The non-partisan series features papers with various viewpoints & examines critical & timely issues facing homeland security. Every Tuesday & Thursday, we spotlight a different research paper from our library. Click the link to visit the SHSU IHS research page. https://lnkd.in/g_WqHuq2 #shsuIHS #IHSResearchSpotlight
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Associate Professor - Embedded Systems for drones
4moBoris KIEMA