• Identify, Track, Capture: Addressing UAS Threats

    Sandia National Laboratories robotics experts are working on a way to intercept enemy unmanned aircraft systems midflight. They successfully tested their concept indoors with a swarm of four unmanned aircraft systems that flew in unison, each carrying one corner of a net. Acting as a team, they intercepted the flying target, trapped it in air like an insect caught in a web and safely lowered it to the ground.

  • Laser Defense System against Next Gen Autonomous Attack Drones

    attack drones are becoming increasingly common threats, and future attack drones will be completely autonomous, navigating via onboard sensors and cameras and eschewing any sort of exploitable communication link. In order to neutralize them before they reach their target, a “hard kill” option is needed to physically target and shoot down the drone. A Ben Gurion University (BGU) laser expert has developed a laser-based defense system, dubbed Light Blade (Lahav-Or in Hebrew), that will be able to down the next generation of attack drones.

  • GOP Senators: Chinese Drones Pose National Security Threat

    A group of GOP senators called on the administration to restrict the use of Chinese drones by U.S. government agencies. “American taxpayer dollars should not fund state-controlled or state-owned firms that seek to undermine American national security and economic competitiveness,” they write.

  • What Can Drones Do to Protect Civilians in Armed Conflict?

    Drones are usually in the news for bad reasons, like controversial killings of suspected terrorists in the Middle East, bombings of Saudi oil facilities or an assassination attempt on Venezuelan President Nicolas Maduro. Michael Yekple writes that what many people may not know is that United Nations peacekeepers use drones to protect civilians from violence. These drones are different: They don’t carry weapons.

  • Should Santa Use a Drone to Deliver Gifts to Well-Behaved Children?

    Santa has always run a one-sleigh operation, but a new analysis could help him speed deliveries and save energy, if he ever decided to add a drone to his route. The new routing algorithm anticipates the day trucks and drones cooperate to drop packages at your doorstep quickly and efficiently.

  • Aerial Threat: Why Drone Hacking Could Be Bad News for the Military

    Unmanned aerial vehicles, more commonly called drones, are now a fundamental part of defense force capability, from intelligence gathering to unmanned engagement in military operations. But what happens if our own technology is turned against us? As with all IT technology, manufacturers and users may leave the digital doors unlocked. This potentially leaves opportunities for cyber-criminals and perhaps even cyber-warfare.

  • Assessing the Danger of Drone Strike

    The rapid rise in the number of drones worldwide has been accompanied by increasing reports of near misses with commercial aircraft. Bird-strike tests for aircraft are mandatory, but to date, however, there is no equivalent standard test procedure for collisions with drones.

  • Drones help in early detection of forest fires

    Researchers have developed a drone-based system for early detection and prevention of forest fires through drone technology. Sensors can detect fire from 15 kilometers away, and autonomously send drones to investigate, even in conditions of limited visibility, and gathers optic and thermal images of the fire, which the drone sends back in real time.

  • Hawk’s pursuit technique can help counter-drone defenses

    Hawks steer their pursuit of evasive prey using a feedback system that differs fundamentally from the missile-like interception system of falcons.

  • Insect-inspired arm technology improve drone design

    A drone delivery is great – on a perfect, sunny day. But what about when it’s windy? Most drones are not able to withstand wind because of their fixed-arm design. Researchers have come up with a patented design for drones that works in windy conditions, is more energy-efficient and can handle a larger payload.

  • Drones pose significant cyber, privacy challenges

    Growing drone use in populated areas poses significant risks that, without additional safeguards, could result in attacks by malicious entities and exploited for use in cyberattacks, terrorism, crime and invasion of privacy.

  • Drones to make traffic crash site assessments safer, faster, more accurate

    In 2016, there were more than 7 million police-reported traffic crashes in which 37,461 people were killed and an estimated 3,144,000 were injured. Idling in a long highway line of slowed or stopped traffic on a busy highway can be more than an inconvenience for drivers and highway safety officers. It is one of the most vulnerable times for “secondary accidents,” which often can be worse than an original source of the slowdown.

  • Drone jamming system to protect European airports, public spaces

    Airports could be equipped with technology capable of detecting and bringing down drones that stray into their air space, according to Dan Hermansen, chief technology officer of Danish anti-drone firm MyDefence. The company has developed a drone alarm and protection system that is being installed at a number of prominent sites around Europe, including an airport. It has the potential to prevent the kind of costly disruption that hit London’s Gatwick and Heathrow airports recently.

  • Foldable drone flies through narrow passages in rescue missions

    Researchers have developed a new drone that can retract its propeller arms in flight and make itself small to fit through narrow gaps and holes. This is particularly useful when searching for victims of natural disasters.

  • Better drone detection through machine learning, cameras

    Visual detection of drones has never been considered as effective as its thermal, radio or acoustic counterparts. The trouble is always discriminating between different moving objects in view. Typically, a bird or even a plastic bag caught in the wind might be mistaken for a drone, which is why most discrimination methods have primarily focused on heat and acoustic signatures in the past (though acoustic signatures also tend to become less useful in urban areas with higher levels of background noise). Combined with machine learning, however, a camera can tell a different story.