Research Dive’s Post

The rapid expansion of the drone industry has led to a significant increase in the number of low-altitude drones, raising concerns about collision avoidance and countermeasure strategies among these unmanned aerial vehicles. These challenges highlight the urgent need for effective air-to-air drone target detection. An ideal detection model must offer high accuracy, real-time capabilities, and a lightweight network architecture to balance precision and speed on embedded devices. To meet these requirements, the authors curated a dataset of over 10,000 images of low-altitude operating drones. This dataset includes diverse and intricate backgrounds, significantly enhancing the model’s training capacity. The authors applied a series of enhancements to the YOLOv5 algorithm to achieve lightweight object detection. https://hubs.la/Q02Fr2R20

#UAV operators seeking to pilot #drones #BVLOS need complete trust in their communication channels. Increasingly, LEO satellite networks are used as a failover. Our blog post explores why, how, where and who is working with this technology. https://lnkd.in/eDT2RKEy

Here is a low-cost UAV/Drone platform proposal, using algorithms, to automate inspection of transmission lines, ensure regular monitoring and reducing manual effort..A win all the way! "Unmanned aerial vehicles (UAVs) are now widely used for remote inspection of electrical transmission lines, but capturing detailed information over long distances poses challenges. Additionally, sophisticated equipment is needed due to magnetic field interferences, increasing costs. Now, a team of researchers has introduced an innovative low-cost UAV platform. Using specialized algorithms, it addresses the limitations of affordable equipment, facilitating close-range inspections. The proposed system paves the way for the widespread adoption of automated inspection systems." "...a team of researchers, led by Associate Professor Satoshi Suzuki from the Graduate School of Engineering at Chiba University in Japan, has developed an innovative low-cost UAV for inspecting transmission lines. In contrast to the expensive components used in other methods, this approach utilizes a global navigation satellite system (GNSS) receiver, RGB camera, and a millimeter (mm) wave radar. Dr. Suzuki emphasizes: “Our proposed system enables small drones to inspect transmission lines at close range for the first time. This innovation can lead to the automation of power facility inspections, promoting a more sustainable power supply.”  #dronetechnology #droneservices #uavs #droneinspections https://lnkd.in/e9R_ZY3c

The collaboration between the #drone and mobile #robot in the task of mapping and navigating unknown terrain can lead to higher efficiency and address the weaknesses of each platform. For instance, it compensates for the low battery and payload capacity of drones, while also making up for the smaller range of sensors and weaker traversability of difficult terrain characteristic for mobile robots. However, solving the problem of effective cooperation between the drone and ground mobile robot is not a piece of cake. This challenge is certainly well understood by the team from Scuola Superiore Sant'Anna, who recently won the Leonardo Drone Contest using #ROSbot XL in cooperation with their custom drone 🏆 Check out our recent blog post to discover: 👉 What tasks were prepared for the teams participating in the contest? 👉  What was the winning exploration strategy that enabled the team to locate most markers in a GNSS-denied and partially unknown environment? 👉 What were the benefits of using ROSbot XL for the task? Congratulations to the entire team! Massimo Teppati Losè Michael Mugnai Massimo Satler Carlo Alberto Avizzano

Drone AI capabilities are accelerating, getting closer to supporting emergency response teams, military and more through advanced autonomy. Developments like swarm intelligence could see teams cover larger areas, quicker, by communicating and coordinating with one another. It could enable drones to complete complex tasks and support greater decision-making. This is an innovative area of interest for us, and we believe there is amazing potential for military and other industries. To learn more about the potential for drones in these areas, read this article -> https://lnkd.in/ehrQjJ5g #Drones #AutonomousDrones #SwarmIntelligence  

"The expansion of AERPAW opens up vast new avenues of research. We can now support studies of dynamic flight optimization, experiments to localize sources of signal interference from the air, and research on the impact of drone orientation, speed, and tilt on network performance. It is possible to run experiments with multiple UAVs at once and to interact with portable radio nodes placed on both drones and unmanned ground vehicles across a wide geographic region.” - Ismail Guvenc, AERPAW Principal Investigator, and engineering professor at NC State University. Check out the PAWR Project Office's announcement of the dramatic expansion of AERPAW - the first wireless research platform to study the convergence of 4G/5G technology and autonomous drones – as it launches into a second phase of operations ➡ https://lnkd.in/ewM4CwNj #droneresearch #drones #research #NSFfunded #AERPAW #5G #advancedwireless #wirelessresearch #testbed #4G #UAV #unmannedaerialvehicle #autonomousdrones

The GIS industry significantly benefits from drone technology because UAVs make geospatial data collection less expensive and more accessible. The traditional method typically involves renting conventional aircraft and trained pilots and attaching recording instruments like infrared cameras to the plane. This way of gathering information can be resource-intensive and costly. Even advanced UAVs will be less expensive than hiring a professional pilot and renting traditional aircraft. Moreover, drones have more flexibility when it comes to flight. These small and portable devices can fit between buildings and map out spatial information in tighter structures. Once professionals collect the geospatial information they need for their applications, they can store, process, and share it with an easy-to-use spatial data platform. Many drones also have Wi-Fi capabilities that allow for a first-person view (FPV). This technology will enable drones with Wi-Fi cameras to show what the drone “sees” during its flight. Some of them may also fly autonomously by using GPS information. These advancements make UAVs highly flexible, and the operator does not need to be a skilled pilot to use them.

✍ As the first bionic vision UAV self-driving system in China, the deep application of this UAV in different fields and industry scenarios has opened up new space, and "enabling industrial drones" is its design concept. After the drone uses our autopilot system, it can operate normally without relying on satellite navigation. ✈ For example, inspection of large chemical plants and power lines of high-voltage transmission companies. Due to strong electromagnetic interference, the drone does not dare to approach, otherwise it may "blow up". Equipped with a self-driving system, you can get infinitely close to the mission target without worrying about electromagnetic interference. For example, after the earthquake disaster, the UAV needs to enter the room for reconnaissance and search, and all the drones on the market can not enter the room, and the self-driving system can enter the room unimpeded. ✈The UAV autonomous driving system has a wide range of application prospects in various industries such as indoor reconnaissance, security, tunnel and mine rescue, power line patrol, urban logistics, emergency search and rescue, etc. ✈The autopilot system does not rely on satellite signals, can fly without radio signals, and can also build three-dimensional maps in real time and send three-dimensional images to the ground command center. The system has the ability to make the aircraft reach L4 automatic flight. ✈Compared with the traditional manual pilot control mode, it greatly improves the flight control accuracy and control stability, and can be easily controlled even in the face of complex indoor obstacle environments. In the absence of satellite signals and completely without human control, unmanned aerial vehicles can be fully automated and autonomous hovering flight, and complete accurate navigation tasks. ✈At the same time, it can also help the unmanned aerial vehicle actively identify the surrounding obstacles in the flight process, and autonomously avoid obstacles, to achieve fully automated obstacle avoidance flight. #autonomous #inspection #tunnel #drone #patrol Get more details: https://lnkd.in/ebxKXdbm

Drones empower surveying firms to remotely access any terrain, utilizing LiDAR to generate precise three-dimensional topographical models. Despite their capabilities, several myths contribute to unfair negative perceptions of drones. Here are the top three myths, debunked. #Surveying #AerialMapping #Drones #LiDAR #TechnologyInSurveying