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Seoul Robotics, Evitado Debut Aviation Collision-Avoidance Solution

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3D computer vision company Seoul Robotics and ground collision-avoidance system developer Evitado Technologies have established an ecosystem partnership that will enable aviation customers to deploy 3D-based solutions at airports, as well as within hangars, to automate operations for increased safety and efficiency. The partnership will integrate Seoul Robotics’ 3D perception software platform, SENSR, with Evitado’s all-in-one collision warning system for airport operations to bring heightened visibility to hangars, ramps, taxiways, and runways through object detection and tracking. The system is temporarily attached to equipment and aircraft in addition to being installed on the airport infrastructure and provides real-time collision warnings.

Long term, the solution will automate airside operations, enabling ground service equipment to drive and move aircraft autonomously. Damages caused during aircraft ground movements cause nearly 250,000 injuries and can cost airlines upward of $10 billion each year. By installing a temporary 3D system on the aircraft, equipment, and infrastructure, this system can detect objects, people, and obstacles in real time, alerting control managers if the airplane is approaching an object that could cause serious damage. With recent advancements in 3D sensors and perception software, these systems can take in their environment in more granular detail and enable far better localization and prediction, resulting in fewer collisions.

SENSR uses deep learning to analyze and understand 3D lidar and imaging radar data. The solution enables detection of more than 500 objects, at distances of up to 200 m, prediction up to 3 s in advance, real-time object perception, and advanced classification of vehicles, people, and other objects.


Published: December 2021
Glossary
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
computer vision
Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
BusinessSeoul RoboticsEvitado3D perceptioncollision avoidance3D sensingSensors & Detectorsaviationairportmachine visioncomputer vision

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