This paper introduces an innovative approach for the autonomous landing of Unmanned Aerial Vehicles (UAVs) using only a front-facing monocular camera, therefore obviating the requirement for depth estimation cameras. Drawing on the inherent human estimating process, the proposed method reframes the landing task as an optimization problem. The UAV employs variations in the visual characteristics of a specially designed lenticular circle on the landing pad, where the perceived color and form provide critical information for estimating both altitude and depth. Reinforcement learning algorithms are utilized to approximate the functions governing these estimations, enabling the UAV to ascertain ideal landing settings via training. This method's efficacy is assessed by simulations and experiments, showcasing its potential for robust and accurate autonomous landing without dependence on complex sensor setups. This research contributes to the advancement of cost-effective and efficient UAV landing solutions, paving the way for wider applicability across various fields.

Modern autopilot systems are prone to sensor attacks that can jeopardize flight safety. To mitigate this risk, we proposed a modular solution: the secure safety filter, which extends the well-established control barrier function (CBF)-based safety filter to account for, and mitigate, sensor attacks. This module consists of a secure state reconstructor (which generates plausible states) and a safety filter (which computes the safe control input that is closest to the nominal one). Differing from existing work focusing on linear, noise-free systems, the proposed secure safety filter handles bounded measurement noise and, by leveraging reduced-order model techniques, is applicable to the nonlinear dynamics of drones. Software-in-the-loop simulations and drone hardware experiments demonstrate the effectiveness of the secure safety filter in rendering the system safe in the presence of sensor attacks.

Language-goal aerial navigation is a critical challenge in embodied AI, requiring UAVs to localize targets in complex environments such as urban blocks based on textual specification. Existing methods, often adapted from indoor navigation, struggle to scale due to limited field of view, semantic ambiguity among objects, and lack of structured spatial reasoning. In this work, we propose GeoNav, a geospatially aware multimodal agent to enable long-range navigation. GeoNav operates in three phases-landmark navigation, target search, and precise localization-mimicking human coarse-to-fine spatial strategies. To support such reasoning, it dynamically builds two different types of spatial memory. The first is a global but schematic cognitive map, which fuses prior textual geographic knowledge and embodied visual cues into a top-down, annotated form for fast navigation to the landmark region. The second is a local but delicate scene graph representing hierarchical spatial relationships between blocks, landmarks, and objects, which is used for definite target localization. On top of this structured representation, GeoNav employs a spatially aware, multimodal chain-of-thought prompting mechanism to enable multimodal large language models with efficient and interpretable decision-making across stages. On the CityNav urban navigation benchmark, GeoNav surpasses the current state-of-the-art by up to 12.53% in success rate and significantly improves navigation efficiency, even in hard-level tasks. Ablation studies highlight the importance of each module, showcasing how geospatial representations and coarse-to-fine reasoning enhance UAV navigation.

Fox News contributor Brett Velicovich joins'Fox & Friends First' to discuss Secretary's Hegseth's sweeping Army transformation, how Russia has responded to the U.S. minerals deal with Ukraine and the military bolstering drone technology. This is how the Army will island hop in the Pacific to fend off China. And by the way, Chinese President Xi Jinping has nothing like it. With a stunning announcement, the Army did more than ax 40 generals and open the door to AI. The Army bet its future on this radical aircraft, whose engines swivel to take off and land like a helicopter, or fly high and fast like an airplane.

Fox News contributor and Army veteran Brett Velicovich shares insight into the United States' drone capabilities and how it compares to adversaries like Russia and China. The U.S. Marine Corps established an attack drone team earlier this year to respond to the rapid development of armed first-person view (FPV) drone technology and tactics, offering a glimpse into the evolving landscape of modern warfare and how future battles could be fought. The Marine Corps Attack Drone Team (MCADT) will be based at the Weapons Training Battalion, Marine Corps Base in Quantico, Virginia. The FPV drones used will offer squad-level lethality at a range of up to 20 kilometers, nearly 12.5 miles, for under 5,000, compared to more expensive weapons systems with less capability, according to a press release from the service. "MCADT is committed to rapidly integrating armed first-person view drones into the FMF [Fleet Marine Force], enhancing small-unit lethality and providing organic capabilities that warfighters currently lack," said Maj. Alejandro Tavizon, the headquarters company commander at Weapons Training Battalion and officer in charge of MCADT.

Russia and Ukraine accused one another of violating a May 8-10 ceasefire that had been unilaterally declared by Russian President Vladimir Putin to coincide with commemorative events marking the 80th anniversary of victory over Nazi Germany in World War II. The Russian Defence Ministry said on Friday that Ukrainian troops had made four attempts to smash through the border into the Kursk and Belgorod regions in the past week. It claimed that Kyiv's troops attacked Russian forces 15 times during the ceasefire. In Belgorod, the local governor said a Ukrainian drone had attacked a government building on Friday. Pro-Russian war bloggers said Ukraine attacked multiple villages in the region, with further "high-intensity fighting" near Tetkino, a village in the Kursk region.

India and Pakistan have been trading drone and artillery attacks in some of the most intense fighting in nearly 30 years. India claims it brought down some of the more than 300 drones launched by Pakistan. Pakistan denies sending the drones but said it shot down 77 Indian drones.

Russia and Ukraine have accused one another of violating a three-day ceasefire as Moscow marked Victory Day by welcoming allies to a grand military parade. Russia's President Vladimir Putin marked the 80th anniversary of victory over Nazi Germany on Friday alongside China's Xi Jinping, in an event clearly intended to bolster support for his three-year offensive against Ukraine, which he had unilaterally paused for 72 hours to mark the occasion. "Russia has been and will remain an indestructible barrier against Nazism, Russophobia and anti-Semitism," said Putin, seeking to draw parallels between World War II – or the Great Patriotic War as it is named in Russia and other parts of the former Soviet Union – and the Ukraine war. Russia maintains that its February 2022 invasion of its neighbour is a battle against a "Nazi" regime in Kyiv. Ukraine has dismissed that claim as "incomprehensible".

Islamabad, Pakistan – On Wednesday evening, as Pakistan grappled with the aftermath of a wave of missile strikes from India that hit at least six cities, killing 31 people, the country's military spokesperson took to a microphone with a chilling warning. "When Pakistan strikes India, it will come at a time and place of its own choosing," Lieutenant General Ahmed Sharif Chaudhry said in a media briefing. "The whole world will come to know, and its reverberation will be heard everywhere." Two days later, India and Pakistan have moved even closer to the brink of war. On Thursday, May 8, Pakistan accused India of flooding its airspace with kamikaze drones that were brought down over major cities, including Lahore and Karachi.

Chinese soldiers are seen marching in Moscow's Red Square on Friday, May 9. (Credit: CCTV) Chinese President Xi Jinping was photographed standing next to Vladimir Putin on Friday as thousands of Russian troops and military vehicles rumbled through Moscow's Red Square during the country's annual Victory Day parade. The event, marking Russia's 80th anniversary of the defeat of Nazi Germany in World War II, featured over 11,500 troops and more than 180 military vehicles, including tanks, armored infantry vehicles and artillery used on the battlefield in Ukraine. "We are proud of their courage and determination, their spiritual force that always has brought us victory," Putin said about the Russian troops fighting in the war. Russian flag carrier Aeroflot canceled more than 100 flights to and from Moscow and delayed over 140 others on Wednesday as the military were repelling repeated Ukrainian drone attacks on the capital. Russian President Vladimir Putin, center right, and Chinese President Xi Jinping, center, watch the Victory Day military parade in Moscow, Russia, on Friday, May 9. (Mikhail Korytov/Photo host agency RIA Novosti via AP) Ukrainian authorities also reported scores of Russian strikes on Friday that killed at least two people in the Kherson and Zaporizhzhia regions and damaged buildings.