Relative drone-to-drone localization is a fundamental building block for any swarm operations. We address this task in the context of miniaturized nano-drones, i.e., 10cm in diameter, which show an ever-growing interest due to novel use cases enabled by their reduced form factor. The price for their versatility comes with limited onboard resources, i.e., sensors, processing units, and memory, which limits the complexity of the onboard algorithms. A traditional solution to overcome these limitations is represented by lightweight deep learning models directly deployed aboard nano-drones. This work tackles the challenging relative pose estimation between nano-drones using only a gray-scale low-resolution camera and an ultra-low-power System-on-Chip (SoC) hosted onboard. We present a vertically integrated system based on a novel vision-based fully convolutional neural network (FCNN), which runs at 39Hz within 101mW onboard a Crazyflie nano-drone extended with the GWT GAP8 SoC. We compare our FCNN against three State-of-the-Art (SoA) systems. Considering the best-performing SoA approach, our model results in an R-squared improvement from 32 to 47% on the horizontal image coordinate and from 18 to 55% on the vertical image coordinate, on a real-world dataset of 30k images. Finally, our in-field tests show a reduction of the average tracking error of 37% compared to a previous SoA work and an endurance performance up to the entire battery lifetime of 4 minutes.

Hezbollah and the Israeli army confirm a commander of the armed group was killed in a drone strike on a car in southern Lebanon. The strike on Ismail Yusaf Baz comes as Hezbollah claims to have hit an Israeli Iron Dome battery, causing casualties among the Israeli crew.

With their origins in the world of drone racing, FPV drones (that's first-person view for the uninitiated) offer a faster, smoother, and more exciting flying experience than the camera drones we've typically covered in the Gear section. To use a gross oversimplification, if standard drones, like the new WIRED Recommended DJI Air 3, fly like helicopters, FPV drones behave more like airplanes. While most drones are designed to remain as steady and level as possible in the air--all the better to provide a stable platform for photography and videography--FPV drones can bank, drift, climb, and plunge acrobatically, and even pull off loops, flips, and barrel rolls in the hands of a skilled pilot. Go to YouTube and have a look if you want to see how incredibly agile these things can be. DJI's Avata 2 aims to bring the skill requirements needed for FPV flight down, while still offering an exhilarating first-person experience.

Rep. Randy Weber, R-Texas, joined'Fox & Friends First' to discuss the latest on what's expected with Israel's response as House lawmakers are expected to weigh several foreign aid bills this week. Israel's foreign minister on Tuesday said he is calling for additional sanctions on Iran in response to the missile and drone attack that targeted Israel over the weekend. Foreign Minister Israel Katz said he sent letters to 32 countries urging them to impose new sanctions on the Iranian missile project and declare the Islamic Revolutionary Guard Corps (IRGC) a terrorist organization. "Alongside the military response to the firing of the missiles and the UAVs, I am leading a diplomatic offensive against Iran," Katz posted on X. He said additional sanctions would "stop and weaken Iran."

Fox News host Greg Gutfeld gives his take on Iran's missile and drone attack against Israel on'Gutfeld!' Like I said, over the weekend, Iran launched an all-out attack on Israel, shooting as many as 300 drones and rockets at the Jewish state. By that metric, it was far more dangerous to be on the New York subway this weekend than strolling around Tel Aviv. Seriously, you have a better chance of getting hurt trying to take a burrito from Whoopi Goldberg. Give credit to Israel's air defense system, Iron Dome, which is the same nickname we gave Jesse Watters' head. Now, however, give the Iranians their due.

In communication-deprived disaster scenarios, this paper introduces a Micro-Unmanned Aerial Vehicle (UAV)- enhanced content management system. In the absence of cellular infrastructure, this system deploys a hybrid network of stationary and mobile UAVs to offer vital content access to isolated communities. Static anchor UAVs equipped with both vertical and lateral links cater to local users, while agile micro-ferrying UAVs, equipped with lateral links and greater mobility, reach users in various communities. The primary goal is to devise an adaptive content dissemination system that dynamically learns caching policies to maximize content accessibility. The paper proposes a decentralized Top-k Multi-Armed Bandit (Top-k MAB) learning approach for UAV caching decisions, accommodating geotemporal disparities in content popularity and diverse content demands. The proposed mechanism involves a Selective Caching Algorithm that algorithmically reduces redundant copies of the contents by leveraging the shared information between the UAVs. It is demonstrated that Top-k MAB learning, along with selective caching algorithm, can improve system performance while making the learning process adaptive. The paper does functional verification and performance evaluation of the proposed caching framework under a wide range of network size, swarm of micro-ferrying UAVs, and heterogeneous popularity distributions.

The Multiple Traveling Salesman Problem (MTSP) with a single depot is a generalization of the well-known Traveling Salesman Problem (TSP) that involves an additional parameter, namely, the number of salesmen. In the MTSP, several salesmen at the depot need to visit a set of interconnected targets, such that each target is visited precisely once by at most one salesman while minimizing the total length of their tours. An equally important variant of the MTSP, the min-max MTSP, aims to distribute the workload (length of the individual tours) among salesmen by requiring the longest tour of all the salesmen to be as short as possible, i.e., minimizing the maximum tour length among all salesmen. The min-max MTSP appears in real-life applications to ensure a good balance of workloads for the salesmen. It is known in the literature that the min-max MTSP is notoriously difficult to solve to optimality due to the poor lower bounds its linear relaxations provide. In this paper, we formulate two novel parametric variants of the MTSP called the "fair-MTSP". One variant is formulated as a Mixed-Integer Second Order Cone Program (MISOCP), and the other as a Mixed Integer Linear Program (MILP). Both focus on enforcing the workloads for the salesmen to be equitable, i.e., the distribution of tour lengths for the salesmen to be fair while minimizing the total cost of their tours. We present algorithms to solve the two variants of the fair-MTSP to global optimality and computational results on benchmark and real-world test instances that make a case for fair-MTSP as a viable alternative to the min-max MTSP.

For people in eastern Ukraine, where nightly barrages of drones from Russia outpace the military's overwhelmed air defenses, the response by Western allies to Iran's aerial assault against Israel this weekend produced uncomfortable comparisons. The militaries of the United States, Britain, France and others stepped in to help Israel defend against the fusillade of more than 300 Iranian drones and missiles, nearly all of which were intercepted. A similar number of aerial weapons are fired at Ukraine on a weekly basis, its officials say, with many of the drones in those attacks designed by Iran and now produced by Russia. Since the start of this year, Russia has fired 1,000 missiles, 2,800 drones and 7,000 guided aerial bombs at Ukraine, according to Ukraine's permanent representative to the United Nations, Sergiy Kyslytsya. While Washington and other allies have provided Kyiv with some powerful air defense weapons, they have not directly confronted Russian forces, and Ukrainian officials have long argued that the supplied weapons are insufficient to counter the threat from Moscow.

Video captures the moment and aftermath of what appears to be a drone, allegedly of Ukrainian origin, striking Russian drone production facility. Russian officials claimed that only a worker's dormitory was hit. The success of Israel and its allies in largely thwarting a massive Iranian missile and drone attack shows what Ukraine could achieve against Russian aerial barrages if it had more support from its partners, Ukrainian Foreign Minister Dmytro Kuleba said Monday. A recent Russian aerial campaign targeting Ukraine's energy infrastructure and other targets has wrought extensive damage, and Ukrainian officials have pleaded with the country's Western allies to provide more air defense systems as the war stretches into its third year. Israel's defense system, with assistance from the U.S. and Britain -- countries that are also supporting Ukraine's war effort -- is credited with preventing serious damage or casualties in Sunday's attack by Iran using more than 300 drones and missiles. Kuleba, speaking to reporters in Kyiv, urged Ukraine's allies to "give us what we need and we will do the rest of the job."

Video captures the moment and aftermath of what appears to be a drone, allegedly of Ukrainian origin, striking Russian drone production facility. Russian officials claimed that only a worker's dormitory was hit. More civilians died across Ukraine on Sunday as analysts warned that delays in U.S. military assistance would see Kyiv struggle to fight off Russian offensives. One man was killed Sunday after a Russian drone hit the truck he was driving in the Sumy region, the local prosecutor's office said. Elsewhere, a 67-year-old woman was killed after shelling hit an apartment block in the Donetsk region, said Gov. Vadym Filashkin. Officials in the Kharkiv region also said Sunday that they had retrieved the bodies of a 61-year-old woman and a 68-year-old man killed by a Russian strike the previous day.