by Oak Ridge National Laboratory (ORNL) and Western Michigan University aren’t just getting tips from the sensors. But it also includes smart road signs. Researchers recently demonstrated this innovative technology to city and county officials on raised sidewalk signs to convey road information This innovation that inserts a microchip into Increase the autonomy of self-driving vehicles especially in challenging weather conditions
A research team led by Ali Riza ACT from ORNL is working to commercialize the technology. By installing these chips following in their footsteps They can then transmit information about the shape of the road. Although cameras become less reliable due to fog, snow, and other adverse weather conditions, the technology also reduces energy consumption for navigation which allows electric vehicles to It can be driven further before it can be recharged.
last morning A driverless car drives down a curved Chattanooga Road, paying attention to the road’s reflective signs. Researchers from Oak Ridge National Laboratory and Western Michigan University have demonstrated the technology to officials in Chattanooga and Hamilton County, Tennessee. The research team is laying the groundwork for the introduction of this innovation. said to be used commercially It is equipped with a sidewalk marking Microchipping that transmits information about the size of the road. Even if weather conditions such as fog or snow cause the camera to The technology also reduces energy consumption for navigation so that electric vehicles can travel further before recharging.
Researchers designed an algorithm that uses radio-frequency detection to determine the transmission time of passing vehicles from a pavement marker. Cars can now receive information from 50 marker positions in a single signal overview, said ORNL lead researcher Ali Riza Acti. One study found that chip-based markers were fully successful in transmitting lane information on different roads. Compared to commercial visibility The study is published in the journal Sensors.
Researchers have developed an algorithm that uses radio frequency detection to determine the timing of transmissions from the sidewalk to passing cars. Cars can now receive information from 50 markers in a single signal overview. In recent studies, these chip-based signals have been proven to be completely successful in conveying lane information on a variety of roads. Compared to commercial vision processing systems It detected lanes on steep curves only 7% of the time. The study was published in the journal Sensors.
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1. Source: Coherent Market Insights, Public sources, Desk research
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