Hezbollah has carried out its deadliest attack against Israel since the latest escalation in fighting began, sending a'swarm' of drones to a military base and killing at least four soldiers. Here's what we know about the attack.

South Korea's military has announced it is "fully ready" to respond amid reports that North Korean troops have been deployed to the border and are getting ready to blow up roads connecting the two nations along the heavily militarised dividing line. Tensions have escalated in recent days as the nuclear-armed North accused Seoul of flying drones over its capital to drop propaganda leaflets filled with "inflammatory rumours and rubbish", and warned that if another drone was detected, it would consider it "a declaration of war". South Korean military spokesman Lee Sung-jun told reporters in Seoul on Monday they are in "full readiness" against the possibility of "a provocation" after Pyongyang ordered artillery units along the border to open fire in case of an escalation. South Korean state news agency Yonhap also quoted Lee as saying the military found that the North is installing screens along the roads "to make preparations for the explosions". "It is possible for [North Korea's explosions] to take place as early as today [Monday]," he said.

South Korea's military said Monday it was "fully ready" to respond after North Korea ordered troops on the border to prepare to fire, in an escalating dispute over drone flights to Pyongyang. The nuclear-armed North has accused Seoul of flying drones over its capital to drop propaganda leaflets filled with "inflammatory rumors and rubbish," and warned Sunday that if another drone was detected, it would consider it "a declaration of war." Seoul's military previously denied it was behind the flights, with local speculation centered on activist groups in the South, which have long sent propaganda and U.S. currency northward, typically by balloon.

In this work, we present an autonomous inspection framework for remote sensing tasks in active open-pit mines. Specifically, the contributions are focused towards developing a methodology where an initial approximate operator-defined inspection plan is exploited by an online view-planner to predict an inspection path that can adapt to changes in the current mine-face morphology caused by route mining activities. The proposed inspection framework leverages instantaneous 3D LiDAR and localization measurements coupled with modelled sensor footprint for view-planning satisfying desired viewing and photogrammetric conditions. The efficacy of the proposed framework has been demonstrated through simulation in Feiring-Bruk open-pit mine environment and hardware-based outdoor experimental trials. The video showcasing the performance of the proposed work can be found here: https://youtu.be/uWWbDfoBvFc

In the field of sensor fusion and state estimation for object detection and localization, ensuring accurate tracking in dynamic environments poses significant challenges. Traditional methods like the Kalman Filter (KF) often fail when measurements are intermittent, leading to rapid divergence in state estimations. To address this, we introduce SMART (Sensor Measurement Augmentation and Reacquisition Tracker), a novel approach that leverages high-frequency state estimates from the KF to guide the search for new measurements, maintaining tracking continuity even when direct measurements falter. This is crucial for dynamic environments where traditional methods struggle. Our contributions include: 1) Versatile Measurement Augmentation Using KF Feedback: We implement a versatile measurement augmentation system that serves as a backup when primary object detectors fail intermittently. This system is adaptable to various sensors, demonstrated using depth cameras where KF's 3D predictions are projected into 2D depth image coordinates, integrating nonlinear covariance propagation techniques simplified to first-order approximations. 2) Open-source ROS2 Implementation: We provide an open-source ROS2 implementation of the SMART-TRACK framework, validated in a realistic simulation environment using Gazebo and ROS2, fostering broader adaptation and further research. Our results showcase significant enhancements in tracking stability, with estimation RMSE as low as 0.04 m during measurement disruptions, advancing the robustness of UAV tracking and expanding the potential for reliable autonomous UAV operations in complex scenarios. The implementation is available at https://github.com/mzahana/SMART-TRACK.

This study proposes a novel artificial intelligence (AI) driven flight computer, integrating an online free-retraining-prediction model, a swarm control, and an obstacle avoidance strategy, to track dynamic targets using a distributed drone swarm for military applications. To enable dynamic target tracking the swarm requires a trajectory prediction capability to achieve intercept allowing for the tracking of rapid maneuvers and movements while maintaining efficient path planning. Traditional predicative methods such as curve fitting or Long ShortTerm Memory (LSTM) have low robustness and struggle with dynamic target tracking in the short term due to slow convergence of single agent-based trajectory prediction and often require extensive offline training or tuning to be effective. Consequently, this paper introduces a novel robust adaptive bidirectional fuzzy brain emotional learning prediction (BFBEL-P) methodology to address these challenges. The controller integrates a fuzzy interface, a neural network enabling rapid adaption, predictive capability and multi-agent solving enabling multiple solutions to be aggregated to achieve rapid convergence times and high accuracy in both the short and long term. This was verified through the use of numerical simulations seeing complex trajectory being predicted and tracked by a swarm of drones. These simulations show improved adaptability and accuracy to state of the art methods in the short term and strong results over long time domains, enabling accurate swarm target tracking and predictive capability.

Israeli rescue services say nearly 60 people were injured, some critically, in a drone strike in Binyamina on Sunday, which Hezbollah has claimed responsibility for. Rescue services in Israel said over 60 people were wounded, some of them critically, in a drone strike in Binyamina, Israel, which the Lebanon-based Hezbollah militant group has claimed responsibility for, according to reports. Israeli media reported that two drones were launched from Lebanon, one of which was intercepted. Who was hurt – whether military members or civilians – or what was struck was not immediately clear. On Thursday, Israel conducted two strikes in Beirut that killed 22 people, and Hezbollah said it was retaliating for the strikes by targeting an Israeli military training camp.

At least 67 people have been wounded in a drone attack in northern Israel, according to Israeli emergency services and local media, as the Lebanese armed group Hezbollah said it had targeted an Israeli military camp with a "swarm" of drones. Israeli Army Radio reported that at least four people were critically wounded in the attack on Sunday in the town of Binyamina, south of Haifa. According to Israel's Channel 12, no warning sirens were heard before the attack. Hezbollah claimed responsibility for the strike. In a statement, the Iran-aligned group said it launched a "swarm of drones" at a Golani Brigade camp.

The group said it targeted the camp in northern Israel using a "swarm of drones". Israeli censorship rules prevent media outlets saying exactly where or what was targeted, but some media outlets say the location was hit by a low-level drone launched from Lebanon - a relatively unsophisticated weapon that appears not to have activated early warning alarms. Footage carried by Israeli media showed those wounded being helped into emergency vehicles, including helicopters. Israeli media reported that 67 people have been injured - with four in a critical condition and five others seriously wounded. Many of the wounded have been evacuated to Hillel Yaffe Medical Centre in nearby Hadera - with others being taken to hospitals in Tel Hashomer, Haifa, Afula and Netanya.

Ukraine's human rights ombudsman has urged international organisations to respond to an allegation that several Ukrainian prisoners of war were executed in Russia's Kursk region. DeepState, a Ukrainian battlefield analysis site close to Ukraine's Defence Ministry, said that Russian troops killed nine Ukrainian "drone operators and contractors" on October 10 after they had surrendered. Dmytro Lubinets said on Sunday that the international community "must not turn a blind eye" to the alleged executions. The ombudsman wrote on Telegram that he had sent letters to the United Nations and the International Red Cross about the incident, referring to it as "another crime committed by the Russians". Ukrainian Prosecutor-General Andriy Kostin also said his office had opened a criminal investigation into the alleged execution and said killing prisoners of war was a "gross violation" of the Geneva Convention.