Scientists have built an AI tool that finds drone pilots flying dangerously close to airports or protected airspace. The system aims to reduce the risks drones pose to aircraft. Not only can they collide with planes, but they can also interfere with radio signals, causing a pilot to lose control of the aircraft. These risks have already caused chaos at a number of airports. Most notoriously, London's Gatwick airport was forced to shut down in December 2018 after drones were spotted near the runway.

Analyzing encircling situation is the most crucial part of autonomous adaptation. Since there are many unknown and constantly changing factors in the real environment, momentary adjustment to the consistently alternating circumstances is highly required for addressing autonomy. To respond properly to changing environment, an utterly self-ruling vehicle ought to have the capacity to realize/comprehend its particular position and the surrounding environment. However, these vehicles extremely rely on human involvement to resolve entangled missions that cannot be precisely characterized in advance, which restricts their applications and accuracy. Reducing dependence on human supervision can be achieved by improving level of autonomy. Over the previous decades, autonomy and mission planning have been extensively researched on different structures and diverse conditions; nevertheless, aiming at robust mission planning in extreme conditions, here we provide exhaustive study of UVs autonomy as well as its related properties in internal and external situation awareness. In the following discussion, different difficulties in the scope of AUVs and UAVs will be discussed.

When an unauthorized drone is being flown in a restricted airspace, the authorities understandably want to locate its operator. A new AI-based system may allow them to do so, succeeding where other technologies fail. First of all, it is possible to determine the approximate location of a drone's pilot, using multiple widely-spaced sensors to triangulate the originating point of its radio control signal. Those sensors do already have to be in place, however, plus they may not be able to pick up the radio signal if it's obstructed by other wireless signals (such as those from Wi-Fi or Bluetooth) that are present in the area. Seeking a better alternative, researchers from Israel's Ben-Gurion University of the Negev have developed a system in which cameras optically track the drone's flight path in three-dimensional space.

The United States lashed out on Wednesday at a United Nations probe into the American drone attack that killed a top Iranian general, saying it gave "a pass to terrorists". US President Donald Trump ordered the killing of Iran's General Qassem Soleimani in a January attack near Baghdad's international airport. The incident stoked fears of an all-out conflict between Iran and the US. The US air raid that killed Soleimani and others in his convoy was "unlawful" and an "arbitrary killing" that violated the UN charter, the UN expert on extrajudicial killings, Agnes Callamard, concluded in a report on Tuesday. She said the US provided no evidence "an imminent attack" against American interests was being planned and, therefore, its "self-defence" justification did not apply.

Since the death of George Floyd on May 25, Americans have taken to the streets to peacefully protest in unprecedented numbers, calling for an end to our national culture of racism and police brutality. These protests have, on too many occasions, been met with violent force from police, who have been caught on camera using tear gas, pepper spray, rubber bullets, and other supposedly less-lethal weapons against unarmed and compliant people. Police around the country are also devoting considerable time and energy to collecting intelligence on protesters and protest movements, with methods ranging from monitoring social media posts to aerial surveillance--sometimes, with drones. Police, military, and federal government forces have regularly flown surveillance helicopters and small, crewed surveillance aircraft over protest areas, capturing real-time video and photographs of protest movements. The New York Times found that by mid-June, the Department of Homeland Security had captured more than 270 hours of surveillance footage of protests from helicopters, airplanes, and drones, data that was shared with a digital network accessible by other federal agencies and by police departments.

Law enforcement and military personnel might finally have a way to track malicious drones and prevent millions of dollars in damage thanks to new artificial intelligence research. Academics at Israel's Ben-Gurion University of the Negev have developed a way to locate the operator of a drone by looking at how the airborne vehicle moves. Locating the pilots of malicious drones is a pressing issue. In December 2018, Gatwick Airport had to close its runways to avoid drones flying dangerously close. Officers believed that it was a deliberate attack on the airport.

Law enforcement and military personnel might finally have a way to track malicious drones and prevent millions of dollars in damage thanks to new artificial intelligence research. Academics at Israel's Ben-Gurion University of the Negev have developed a way to locate the operator of a drone by looking at how the airborne vehicle moves. Locating the pilots of malicious drones is a pressing issue. In December 2018, Gatwick Airport had to close its runways to avoid drones flying dangerously close. Officers believed that it was a deliberate attack on the airport.

In this paper, we focus on the task of multi-view multi-source geo-localization, which serves as an important auxiliary method of GPS positioning by matching drone-view image and satellite-view image with pre-annotated GPS tag. To solve this problem, most existing methods adopt metric loss with an weighted classification block to force the generation of common feature space shared by different view points and view sources. However, these methods fail to pay sufficient attention to spatial information (especially viewpoint variances). To address this drawback, we propose an elegant orientation-based method to align the patterns and introduce a new branch to extract aligned partial feature. Moreover, we provide a style alignment strategy to reduce the variance in image style and enhance the feature unification. To demonstrate the performance of the proposed approach, we conduct extensive experiments on the large-scale benchmark dataset. The experimental results confirm the superiority of the proposed approach compared to state-of-the-art alternatives.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Senior Air Force commanders are employing new tactics, technologies and protocols to better safeguard drones from being shot down by enemy fire during missions. Air Force Gen. Jeffrey Harrigian, the commander of U.S. Forces Europe, recently told reporters that senior U.S. military leaders are now in an effort to increase mission survivability for combat drones operating in high-risk areas. Responding to a question about an MQ-9 Reaper being shot down over Yemen last year, Harrigian emphasized that drone operations need to become less predictable to enemies. "There is something to be said for operating in a manner that offers us an opportunity to not be as predictable as we have been.

The US drone strike that killed Iran's top general Qassem Soleimani was "unlawful", the United Nations expert on extrajudicial killings concluded in a report on Tuesday. US President Donald Trump ordered the killing in a January 3 drone strike near Baghdad international airport. Soleimani was "the world's top terrorist" and "should have been terminated long ago", Trump said at the time. Iraqi commander Abu Mahdi al-Muhandis was also killed in the attack. Callamard concluded that it was an "arbitrary killing" that violated the UN charter.