Articles tagged with "collision-avoidance"
New AI radar system aims to cut human error in maritime collisions
Scientists at Texas A&M University have developed an AI-assisted radar system called SMART-SEA (Ship collision avoidance of Machine learning And Radar Technology for Stationary Entities and Avoidance) to help ship captains reduce deadly maritime collisions caused by human error. Unlike fully autonomous navigation systems, SMART-SEA operates with a “human-in-the-loop” approach, providing real-time instructions that combine human expertise with AI precision. The system was created under a contract from the US Department of the Interior and Department of Energy to address the rising incidence of collisions between vessels and stationary structures such as oil rigs. SMART-SEA integrates raw radar imaging with advanced machine learning to detect moving objects even in adverse weather and to classify stationary hazards. It uses computational fluid dynamics models and algorithms trained on historical vessel motions, incorporating seafarer experience gathered through focus groups. The system employs a Modified Velocity Obstacle algorithm combined with an Asymmetric Grey Cloud model to assess collision risks and suggest avoidance maneuvers, all while complying with International Regulations for
AIradar-technologymachine-learningmaritime-safetycollision-avoidanceocean-engineeringenergy-safetyChina's 156 satellites in Xingyan constellation to prevent collision
China is advancing its independent space traffic monitoring capabilities by developing the Xingyan (Star Eye) satellite constellation, which will ultimately include 156 satellites designed to track objects in orbit and reduce collision risks for commercial operators. Developed by Xingtu Cekong, a spin-off of geospatial data leader Zhongke Xingtu, the constellation aims to provide global coverage of low Earth orbit and focused monitoring of higher orbits, with updates every 30 minutes. The full system is expected to be operational after 2028, with 12 satellites planned for launch by 2027. This initiative complements China’s earlier launch of the Guangshi constellation, operated by Beijing Kaiyun United, which will consist of 24 satellites to enhance space situational awareness for both civilian and commercial use. These efforts reflect China’s goal to lessen reliance on foreign tracking data and improve the safety and efficiency of orbital operations amid the growing number of satellites and debris in space. The Xingyan system will employ AI-enabled sensors to detect debris,
IoTsatellitesspace-situational-awarenessAIcollision-avoidancespace-traffic-managementsatellite-constellationNew coordination tech lets drone swarms fly faster without accidents
Researchers at Durham University have developed T-STAR (Time-Optimal Swarm Trajectory Planning), a new coordination technology that enables drone swarms to fly faster and safer by sharing data in real time. This system allows drones to make instant decisions, avoid collisions, and navigate complex environments at high speeds, overcoming a key limitation where drone groups previously had to slow down to prevent crashes. Early tests demonstrate that T-STAR improves mission speed, reliability, and precision, making drone swarms more effective for urgent tasks like search and rescue, disaster relief, and environmental monitoring. T-STAR’s real-time communication and collective decision-making capabilities allow drones to operate as an intelligent, coordinated swarm, opening new possibilities for their use in high-risk and time-sensitive scenarios. Beyond emergency response, the technology holds promise for industries such as logistics and agriculture, where large-scale autonomous drone operations could benefit from enhanced speed and safety. This advancement reflects a broader trend in drone swarm innovation, with other companies like Lockheed Martin, IBM
robotdrone-technologyswarm-roboticsautonomous-dronesreal-time-communicationcollision-avoidanceaerial-roboticsRealtime Robotics launches Resolver for motion planning, simulation
robotmotion-planningautomationindustrial-robotscollision-avoidanceworkcell-designsimulationMulti-agent path finding in continuous environments
robotautonomous-drivingmulti-agent-systemspath-findingwarehouse-logisticscollision-avoidancerobotics