New dual-use LOAM-V2 anti-collision system launched
Leonardo has presented the new LOAM-V2, at the Farnborough International Airshow. The LOAM-V2 is a dual use self-protection system for small to mid-sized helicopters. The laser sensor is capable of…
Leonardo has presented the new LOAM-V2, at the Farnborough International Airshow. The LOAM-V2 is a dual use self-protection system for small to mid-sized helicopters. The laser sensor is capable of alerting crews to the presence of obstacles, however small and hard to see in flight
Called LOAM-V2 (Laser Obstacle Avoidance and Monitoring), it weighs only 13 kg and is particularly compact in size. The new obstacle identification and alarm system for rotary wing aircraft promptly detects the presence of small obstacles along the route, such as cables as small as 5 mm in diameter, pillars and structures, offering the crew an opportunity to modify their altitude or direction.
The navigation aid acts as a radar-laser (LADAR), safely scanning the area around the flight path to collect real-time information on the environment, terrain and obstacles. The information is then processed to identify and classify any obstacles and provide acoustic and visual warnings in sufficient time. To ensure the pilot has maximum situational awareness under various flight conditions, the system’s behaviour is optimised for flying at a higher cruising height on course or for approaching at lower speeds while hovering.
Field of vision
LOAM-V2 – developed by Leonardo on the experience acquired with the previous version operative on NH90, EH-101 and CH-47 helicopters -, offers the ability to orient field of vision in order to guarantee broader coverage through “look-in-turn” technology permitting early detection of obstacles and generation of the appropriate warnings. When flying at low speeds, the system’s behaviour changes to provide up to 360⁰ coverage. The active sensor can be integrated with other active and passive sensors such as radar, visual or infrared fixed or adjustable video cameras, and systems based on static databases of obstacles and digital maps.
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