JERUSALEM – The looming Israeli response against the Iran-backed Hezbollah terrorist movement in Lebanon is said to be imminent in response to the group's rocket attack on a children's soccer field on Saturday, resulting in the murders of 12 young people. Early Monday, Israel Defense Forces (IDF) reportedly executed a drone strike in southern Lebanon, resulting in the deaths of two Hezbollah terrorists. The IDF has not commented on the strike. The IDF drone attacks came after Prime Minister Benjamin Netanyahu held a three-hour cabinet meeting on Sunday, during which ministers authorized the prime minister and his minister of defense to determine the "manner and timing" of a military response to the lethal Hezbollah attack. Danny Danon, Israel's new ambassador to the United Nations, told "Fox and Friends" host Steve Doocy on Monday that, Israel's "response will be swift, harsh and painful, and we are now picking the targets and I believe in the next few days, and I'm sure Hezbollah will learn their lesson."

Israeli drone attacks have reportedly killed two people in southern Lebanon as conflict spirals between the bordering states. The Israeli attack was the first lethal action following a rocket attack on Saturday that Israel says killed 12 children and youths in the Israeli-occupied Golan Heights. The strike has increased concern that the war in Gaza threatens to escalate into a regional conflict. Lebanese state media said one strike hit a motorcycle close to the border, killing two riders and injuring a child. Two others were injured in a separate strike in southern Lebanon.

This document presents the Center for Robot Assisted Search And Rescue - Uncrewed Aerial Systems - Disaster Response Overhead Inspection Dataset (CRASAR-U-DROIDs) for building damage assessment and spatial alignment collected from small uncrewed aerial systems (sUAS) geospatial imagery. This dataset is motivated by the increasing use of sUAS in disaster response and the lack of previous work in utilizing high-resolution geospatial sUAS imagery for machine learning and computer vision models, the lack of alignment with operational use cases, and with hopes of enabling further investigations between sUAS and satellite imagery. The CRASAR-U-DRIODs dataset consists of fifty-two (52) orthomosaics from ten (10) federally declared disasters (Hurricane Ian, Hurricane Ida, Hurricane Harvey, Hurricane Idalia, Hurricane Laura, Hurricane Michael, Musset Bayou Fire, Mayfield Tornado, Kilauea Eruption, and Champlain Towers Collapse) spanning 67.98 square kilometers (26.245 square miles), containing 21,716 building polygons and damage labels, and 7,880 adjustment annotations. The imagery was tiled and presented in conjunction with overlaid building polygons to a pool of 130 annotators who provided human judgments of damage according to the Joint Damage Scale. These annotations were then reviewed via a two-stage review process in which building polygon damage labels were first reviewed individually and then again by committee. Additionally, the building polygons have been aligned spatially to precisely overlap with the imagery to enable more performant machine learning models to be trained. It appears that CRASAR-U-DRIODs is the largest labeled dataset of sUAS orthomosaic imagery.

The Canadian women's soccer team was dealt a heavy blow Saturday after FIFA announced the women's national team would be deducted six points from the standings in the Paris Olympics after staffers were caught using drones to spy on New Zealand during closed-door training sessions. Following its investigation, the FIFA Appeal Committee announced the Canadian Soccer Association was responsible for failing to ensure its staff members were in compliance with Olympic rules. "CSA was found responsible for failing to respect the applicable FIFA regulations in connection with its failure to ensure the compliance of its participating officials of the Games of the XXXIII Olympiad Paris 2024 Final Competition (OFT) with the prohibition on flying drones over any training sites," the statement said. "The officials were each found responsible for offensive behavior and violation of the principles of fair play in connection with the CSA's Women's representative team's drones usage in the scope of the OFT." Head coach Bev Priestman was removed from her position Thursday night after two staff members were sent home from Paris when an investigation found that analyst Joseph Lombardi had allegedly used a drone to spy on New Zealand's practice sessions.

FIFA deducted six points from Canada in the Paris Olympics women's football tournament and banned three coaches for one year each in a drone spying scandal. The stunning swath of punishments, announced late on Saturday, includes a 200,000-Swiss-franc ( 226,000) fine for the Canadian football federation in a case that has spiralled at the Summer Games. Two assistant coaches were caught using drones to spy on opponent New Zealand's practices before their opening game on Wednesday. Head coach Bev Priestman, who led Canada to the Olympic title in Tokyo in 2021, already was suspended by the national football federation and then removed from the Olympic tournament. She is now banned from all football by FIFA for one year.

This paper proposes a Conflict-aware Resource-Efficient Decentralized Sequential planner (CREDS) for early wildfire mitigation using multiple heterogeneous Unmanned Aerial Vehicles (UAVs). Multi-UAV wildfire management scenarios are non-stationary, with spatially clustered dynamically spreading fires, potential pop-up fires, and partial observability due to limited UAV numbers and sensing range. The objective of CREDS is to detect and sequentially mitigate all growing fires as Single-UAV Tasks (SUT), minimizing biodiversity loss through rapid UAV intervention and promoting efficient resource utilization by avoiding complex multi-UAV coordination. CREDS employs a three-phased approach, beginning with fire detection using a search algorithm, followed by local trajectory generation using the auction-based Resource-Efficient Decentralized Sequential planner (REDS), incorporating the novel non-stationary cost function, the Deadline-Prioritized Mitigation Cost (DPMC). Finally, a conflict-aware consensus algorithm resolves conflicts to determine a global trajectory for spatiotemporal mitigation. The performance evaluation of the CREDS for partial and full observability conditions with both heterogeneous and homogeneous UAV teams for different fires-to-UAV ratios demonstrates a $100\%$ success rate for ratios up to $4$ and a high success rate for the critical ratio of $5$, outperforming baselines. Heterogeneous UAV teams outperform homogeneous teams in handling heterogeneous deadlines of SUT mitigation. CREDS exhibits scalability and $100\%$ convergence, demonstrating robustness against potential deadlock assignments, enhancing its success rate compared to the baseline approaches.

This paper addresses early wildfire management using a team of UAVs for the mitigation of fires. The early detection and mitigation systems help in alleviating the destruction with reduced resource utilization. A Genetic Algorithm-based Routing and Scheduling with Time constraints (GARST) is proposed to find the shortest schedule route to mitigate the fires as Single UAV Tasks (SUT). The objective of GARST is to compute the route and schedule of the UAVs so that the UAVS reach the assigned fire locations before the fire becomes a Multi UAV Task (MUT) and completely quench the fire using the extinguisher. The fitness function used for the genetic algorithm is the total quench time for mitigation of total fires. The selection, crossover, mutation operators, and elitist strategies collectively ensure the exploration and exploitation of the solution space, maintaining genetic diversity, preventing premature convergence, and preserving high-performing individuals for the effective optimization of solutions. The GARST effectively addresses the challenges posed by the NP-complete problem of routing and scheduling for growing tasks with time constraints. The GARST is able to handle infeasible scenarios effectively, contributing to the overall optimization of the wildfire management system.

Fixed-wing UAVs have transformed the transportation system with their high flight speed and long endurance, yet their safe operation in increasingly cluttered environments depends heavily on effective collision avoidance techniques. This paper presents a novel method for safely navigating an aircraft along a desired route while avoiding moving obstacles. We utilize a class of control barrier functions (CBFs) based on collision cones to ensure the relative velocity between the aircraft and the obstacle consistently avoids a cone of vectors that might lead to a collision. By demonstrating that the proposed constraint is a valid CBF for the aircraft, we can leverage its real-time implementation via Quadratic Programs (QPs), termed the CBF-QPs. Validation includes simulating control law along trajectories, showing effectiveness in both static and moving obstacle scenarios.

Canada national team officials have used drones prior to the Paris Olympics and their Tokyo 2020 women's gold medal could be tarnished, officials said on Friday. The developments emerged after Bev Priestman was removed as Olympics head coach for Canada's women's team, following the flying of a drone over New Zealand's training session on Monday. Priestman, 38, was judged as "highly likely" to have been aware of the incident, leading to her suspension by Canada Soccer. Canadian media reported that both of the country's senior teams - men's and women's - have relied on drones for years. Canada Soccer chief executive Kevin Blue confirmed he had received "anecdotal feedback" related to drone use during the men's team's run to the Copa America semi-finals this summer and that coach Jesse Marsch had only been made aware of it after the event.

The drone scandal surrounding the Canadian women's soccer team could have bigger implications than just this year's Games in Paris. Head coach Bev Priestman was removed from her position on Thursday night after two staff members were sent home from Paris after an investigation found that analyst Joseph Lombardi had used a drone to spy on New Zealand's practice sessions. Head coach Beverly Priestman reacts during the Women's Gold Medal match between Canada and Sweden on day 14 of the Tokyo 2020 Olympic Games at International Stadium Yokohama on Aug. 6, 2021 in Yokohama, Kanagawa, Japan. "Over the past 24 hours, additional information has come to our attention regarding previous drone use against opponents, predating the Paris 2024 Olympic Games," Canada Soccer CEO Kevin Blue said in a statement. "In light of these new revelations, Canada Soccer has made the decision to suspend Women's National Soccer Team Head Coach, Bev Priestman for the remainder of the Paris 2024 Olympic Games, and until the completion of our recently announced independent external review."