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The level of automation depends on how much interaction is required with the outside world. Logically, the more interaction, the less automation can be implemented. For closed systems, GoA up to level 4 has been around for a few decades, but the difficulty is with regional commuter rail and at-grade light rail systems that are mostly not considered closed systems where the level of interaction with the outside world is high. To name a few, detecting obstacles on track, people intruding into the right of way, and level crossings are major hurdles in automating the open systems.
The key to autonomous driving is to overcome these challenging scenarios by elevating our awareness of the environment that we operate in and responding to these challenges accordingly. This demands intelligent algorithms to draw conclusions in real time and act upon the input received from the cameras and sensors on the vehicles and wayside.
Computer vision, LiDAR, and radar are finding their ways into rail transit, and AI solutions are under development and testing to increase the safety assurance of the control systems. Neuvition, as one of the manufacturers of LiDAR sensors and solutions, is assisting customers to overcome challenges in automatic driving, intelligent transportation, and industrial machine vision. LiDAR has strong anti-interference ability, accurate ranging, and long-distance detection ability, which can ensure the safety of railway operation.
Full Article: IEEE Vehicular Technology Magazine, Volume 20, Number 3, September 2025
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