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 Drones


Photograph released of girl missing in River Thames

BBC News

Ch Supt Dan Card from the Met, local policing commander for north-east London, said the force was committed to finding Kaliyah, and were using drone technology and boats as part of their "thorough search over a wide area". "Specialist officers are supporting Kaliyah's family through this deeply upsetting time and our thoughts go out to all those impacted by what has happened." He added: "I'd like to thank the members of public, our first-responding officers, and colleagues from other emergency services, as they responded rapidly to carry out a large-scale search during a highly pressurised and distressing time." The force is appealing for witnesses. The search on Monday involved boats and helicopters from HM Coastguard, the Royal National Lifeboat Institution and London Fire Brigade.


Drone footage shows scale of Greek island flooding

BBC News

Heavy rainfall caused flashing flooding on Greece's Paros island on Monday, 31 March. Drone footage captures the scale of destruction in the capital, Naousa, with damage to vehicles and authorities working to clear mud from the streets. Schools were closed Monday and authorities urged residents to avoid travel, according to local media. Further heavy rainfall is expected to hit this week.


Contextualized Autonomous Drone Navigation using LLMs Deployed in Edge-Cloud Computing

arXiv.org Artificial Intelligence

Autonomous navigation is usually trained offline in diverse scenarios and fine-tuned online subject to real-world experiences. However, the real world is dynamic and changeable, and many environmental encounters/effects are not accounted for in real-time due to difficulties in describing them within offline training data or hard to describe even in online scenarios. However, we know that the human operator can describe these dynamic environmental encounters through natural language, adding semantic context. The research is to deploy Large Language Models (LLMs) to perform real-time contextual code adjustment to autonomous navigation. The challenge not evaluated in literature is what LLMs are appropriate and where should these computationally heavy algorithms sit in the computation-communication edge-cloud computing architectures. In this paper, we evaluate how different LLMs can adjust both the navigation map parameters dynamically (e.g., contour map shaping) and also derive navigation task instruction sets. We then evaluate which LLMs are most suitable and where they should sit in future edge-cloud of 6G telecommunication architectures.


Indoor Drone Localization and Tracking Based on Acoustic Inertial Measurement

arXiv.org Artificial Intelligence

We present Acoustic Inertial Measurement (AIM), a one-of-a-kind technique for indoor drone localization and tracking. Indoor drone localization and tracking are arguably a crucial, yet unsolved challenge: in GPS-denied environments, existing approaches enjoy limited applicability, especially in Non-Line of Sight (NLoS), require extensive environment instrumentation, or demand considerable hardware/software changes on drones. In contrast, AIM exploits the acoustic characteristics of the drones to estimate their location and derive their motion, even in NLoS settings. We tame location estimation errors using a dedicated Kalman filter and the Interquartile Range rule (IQR) and demonstrate that AIM can support indoor spaces with arbitrary ranges and layouts. We implement AIM using an off-the-shelf microphone array and evaluate its performance with a commercial drone under varied settings. Results indicate that the mean localization error of AIM is 46% lower than that of commercial UWB-based systems in a complex 10m\times10m indoor scenario, where state-of-the-art infrared systems would not even work because of NLoS situations. When distributed microphone arrays are deployed, the mean error can be reduced to less than 0.5m in a 20m range, and even support spaces with arbitrary ranges and layouts.


VizFlyt: Perception-centric Pedagogical Framework For Autonomous Aerial Robots

arXiv.org Artificial Intelligence

All the images in this paper are best viewed in color on a computer screen at 200% zoom. Abstract -- Autonomous aerial robots are becoming commonplace in our lives. Hands-on aerial robotics courses are pivotal in training the next-generation workforce to meet the growing market demands. Such an efficient and compelling course depends on a reliable testbed. We utilize pose from an external localization system to hallucinate real-time and photorealistic visual sensors using 3D Gaussian Splatting. This enables stress-free testing of autonomy algorithms on aerial robots without the risk of crashing into obstacles. We achieve over 100Hz of system update rate. Lastly, we build upon our past experiences of offering hands-on aerial robotics courses and propose a new open-source and open-hardware curriculum based on VizFlyt for the future. We test our framework on various course projects in real-world HITL experiments and present the results showing the efficacy of such a system and its large potential use cases. Code, datasets, hardware guides and demo videos are available at https://pear .wpi.edu/research/vizflyt.html


Russian drone attacks on Kharkiv, east Ukraine kill two and injure dozens

Al Jazeera

Russian drones have struck Ukraine's eastern city of Kharkiv, killing two people and wounding dozens, the city's mayor Ihor Terekhov has said. "For the second time in a week, the enemy launched a combined attack, launching seven'Shaheed' at residential areas, hospitals, and the city's infrastructure," Terekhov said in a Telegram message on Sunday, referring to Iranian-made Shahed drones. The swarm of drones also targeted a military hospital, a shopping centre and apartment blocks, he said. Five of the 35 people wounded in the attack overnight were children. At least 13 have been hospitalised, including a teenage girl who is in serious condition.


Russian attack on hospital, shopping center leaves 2 dead as Ukraine braces for fresh offensive

FOX News

Fox News contributor Dan Hoffman joins'Fox & Friends' to discuss Ukraine's claims that Russia has violated the partial ceasefire deal and Putin's threat to Trump over his effort to acquire Greenland. Two people were killed and 35 others were injured after a Russian drone attack struck a military hospital and shopping center in Ukraine late Saturday night, Ukrainian officials say. Regional Gov. Oleh Syniehubov condemned the attack on Kharkiv in a statement on Sunday, saying a 67-year-old man and a 70-year-old woman were killed. The attack comes as Russia's aggression in Ukraine shows no signs of stopping despite efforts by President Donald Trump's administration to speed along peace talks. Ukraine says that many of the casualties were servicemen undergoing treatment at the military hospital.


Four in Ukraine killed in drone strike as Russia claims advances on ground

Al Jazeera

A Russian drone attack has killed at least four people and wounded 21 in the eastern Ukrainian city of Dnipro, damaging high-rise buildings and triggering fires in a hotel and homes, the regional governor said, as Moscow claims to have made gains on the ground elsewhere. Late Friday, Russia sent "more than two dozen drones" to Dnipro, the governor of the surrounding Dnipropetrovsk region, Sergiy Lysak, wrote on his official Telegram account on Saturday. "The massive attack caused large-scale destruction and fires. A hotel and restaurant complex, 11 private houses, garages, and a service station were on fire," he said, adding that high-rises and cars were also damaged. Pictures and videos posted online showed flames and large plumes of smoke wafting skyward.


Move fast, kill things: the tech startups trying to reinvent defence with Silicon Valley values

The Guardian

Visit tech startup Skydio's headquarters on the San Francisco peninsula in California and you're likely to find flying robots buzzing on the roof overhead. Docking stations with motorised covers open to allow small drones that resemble the TIE fighters from Star Wars films to take off; when each drone lands back again, they close. The drones can fly completely autonomously and without GPS, taking in data from onboard cameras and using AI to execute programmed missions and avoid obstacles. Skydio, with more than 740m in venture capital funding and a valuation of about 2.5bn, makes drones for the military along with civilian organisations such as police forces and utility companies. The company moved away from the consumer market in 2020 and is now the largest US drone maker.


Fox News AI Newsletter: North Korea's suicide drone test

FOX News

North Korean leader Kim Jong Un supervises the test of suicide drones with artificial intelligence technology, according to local media, at an unknown location, in this photo released by North Korea's official Korean Central News Agency on March 27, 2025. KIM POWER PLAY: North Korean dictator Kim Jong Un oversaw tests of newly developed AI-powered suicide drones and called for their increased production, North Korean state media said Thursday. A photo taken on October 4, 2023 in Manta, near Turin, shows a smartphone and a laptop displaying the logos of the artificial intelligence OpenAI research company and ChatGPT chatbot. SUZANNE'S TWIN: Suzanne Somers passed away two years ago, but her memory lives on, not only through her Hollywood career and businesses, but artificial intelligence too. Her widower, Alan Hamel, worked with an AI company called Hollo to create a "twin" of his late wife.