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University of Michigan Unveils 'IceVision' to Combat Black Ice

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      Locales: Michigan, UNITED STATES

ANN ARBOR, Mich. - February 7, 2026 - A team of engineers at the University of Michigan have unveiled a potentially life-saving technology designed to combat the persistent and deadly threat of black ice on roadways. Dubbed "IceVision" internally, the new sensor system leverages a novel combination of radar and thermal imaging to detect, map, and ultimately help vehicles avoid treacherous icy patches, promising a significant reduction in winter-related accidents.

Black ice, a thin, transparent coating of ice that forms on road surfaces, poses a particularly acute danger because of its near invisibility. Drivers often have little to no warning before encountering it, leading to loss of control and serious collisions. Traditional methods of ice detection, relying on road surface temperature sensors and weather forecasts, are often inadequate due to the localized and unpredictable nature of black ice formation.

Beyond Simple Detection: Mapping the Danger

The IceVision system doesn't simply detect ice; it maps it. This is a crucial distinction, according to Dr. Emily Carter, the lead researcher on the project. "Knowing that ice exists somewhere on the road isn't enough. Drivers need to know where it is, its extent, and how quickly conditions are changing," she explains. The system achieves this through a synergistic approach:

  • Short-Range Radar: This component actively probes the road surface, analyzing changes in reflectivity. Ice significantly alters how radar waves bounce back, providing an initial indication of potential icy conditions. Unlike visual methods, radar is unaffected by darkness, snow, or fog.
  • Thermal Cameras: These cameras detect subtle temperature differences on the road surface. Ice is typically colder than the surrounding pavement, even if only by a few degrees. Thermal imaging highlights these temperature variations, confirming the presence of ice and helping to differentiate it from simply wet or shadowed areas.
  • Advanced Algorithmic Processing: The real breakthrough lies in the sophisticated algorithms that fuse the data from the radar and thermal cameras. These algorithms filter out noise, compensate for varying road surfaces and ambient conditions, and create a detailed, real-time map of ice coverage. This map isn't just a binary "ice/no ice" indicator; it provides information on ice thickness and potential severity.

From Lab to Road: Testing and Refinement

Rigorous testing has been conducted in various winter environments, including controlled test tracks and real-world roadways. Early results demonstrate a high degree of accuracy in identifying black ice, even in challenging conditions. The system has consistently outperformed existing ice detection methods, providing warnings several seconds earlier than traditional approaches.

Researchers are currently focused on refining the algorithms to improve their robustness and reduce false positives. They are also exploring integration with existing Advanced Driver-Assistance Systems (ADAS), such as automatic emergency braking (AEB) and electronic stability control (ESC). "The ultimate goal is seamless integration," Dr. Carter states. "We want the system to be able to not only warn the driver but, in critical situations, to automatically take corrective action."

The Road Ahead: Commercialization and Infrastructure Integration

The University of Michigan has filed for several patents related to the IceVision technology and is actively seeking partnerships with automotive manufacturers to accelerate its commercialization. While a specific timeline for market availability hasn't been announced, Dr. Carter is optimistic that the system could begin appearing in vehicles within the next two to three years.

Beyond individual vehicles, researchers are also investigating the possibility of integrating IceVision technology into road infrastructure. Imagine smart roadways equipped with sensors that transmit real-time ice warnings directly to drivers' vehicles and to traffic management centers. This could revolutionize winter road maintenance and significantly improve overall road safety.

"We're talking about a paradigm shift in how we approach winter driving," says Dr. Carter. "By proactively identifying and mitigating the risks associated with black ice, we can dramatically reduce the number of accidents and save countless lives. This isn't just about improving technology; it's about making our roads safer for everyone."

The development of IceVision represents a significant step forward in automotive safety technology, offering a promising solution to one of the most dangerous challenges faced by drivers during the winter months.


Read the Full MLive Article at:
[ https://www.mlive.com/news/ann-arbor/2026/02/new-car-sensors-to-avoid-dangerous-ice-developed-by-university-of-michigan-engineers-team.html ]