Vehicle-mounted optical sensor for anticipating pavement condition and grip coefficient

A researcher from Universidad Carlos III de Madrid has developed a vehicle-mounted optical sensor capable of determining pavement condition and estimating the surface grip coefficient. The device uses pulsed dual-comb optical sources to increase sensitivity and obtain detailed spectral information about the road surface while operating from a moving vehicle.

The technology enables remote detection of substances such as water, ice, and snow at distances of up to 25 meters, allowing early identification of hazardous road conditions. Pavement characterization is performed through analysis of the acquired spectral data, providing objective estimation of slip resistance. This capability supports safer driving by anticipating loss-of-traction scenarios before the vehicle reaches the affected area.

The sensor features an optical frequency comb with an extended discrete (multimode) spectrum, improving measurement precision. Its ability to function directly from a moving vehicle makes it suitable for real-time applications, including integration into Advanced Driver Assistance Systems (ADAS) and autonomous driving platforms. These advantages contribute to enhanced road safety, better vehicle control, and improved decision-making in automated mobility systems.

Collaboration sought:
License Agreements are sought with companies in the vehicle manufacturing sector or providers of automotive electronic systems interested in further developing the technology and incorporating the pavement-condition and grip-estimation sensor into their product portfolios.