Skip to Content

Smart Headlights See through Rain and Snow

Software could make it easier to see in difficult driving conditions.

A prototype headlight system can detect raindrops or snow streaks and “dis-illuminate” them, thereby increasing visibility on the road ahead.

The system uses a digital projector to illuminate raindrops for several milliseconds while a camera mounted on the side of the projector captures each raindrop’s location; software predicts where those raindrops will fall within the driver’s field of view. Light rays from the headlight that would normally hit the raindrop are automatically switched off, reducing glare and leaving only the beams of light which travel uninterrupted in between the falling drops.

The system’s operating range is three to four meters in front of the projector—the “critical range” at which glare is most distracting, according to tests conducted using a Toyota Prius.

The system was developed by Carnegie Mellon computer science professor Srinivasa Narasimhan, along with several others. Narasimhan presented his findings in a talk at Microsoft Research and at Research@Intel 2012.

The researchers simulated different car speeds and rainfall intensity in the laboratory by varying the speed at which simulated rain streaks—using actual water propagated in front of the projector—shot past the screen. The system could reliably make rain streaks invisible at low speeds and still increase visibility at higher speeds by dimming some of the rain.

In severe thunderstorm rain, the accuracy is 70 percent at 30 kilometers per hour and 15 to 20 percent at 100 kilometers an hour; that’s how much of the rain is removed from view. Because water in a heavy rain is only 2 to 3 percent of the air volume, the rain can be filtered by dimming the headlights by just a few percent.

Substituting the hardware for a bigger and better camera would improve the system but increase its size and cost. However, making the system fast enough to reduce even more rain glare at highway speeds is important, because that’s where there’s greater risk for a catastrophic crash, says Narasimhan. He believes the experiments to date show that the idea is feasible, but notes that it will be necessary to account for the effects of car movement before the system can be used in the real world.

Kent Larson, who leads the CityCar project at MIT’s Media Lab, says the headlight system is another advance toward making vehicles more autonomous. “Eventually it won’t matter whether you have your vision obscured,” he says, because the car will be doing the driving on its own.

Keep Reading

Most Popular

Geoffrey Hinton tells us why he’s now scared of the tech he helped build

“I have suddenly switched my views on whether these things are going to be more intelligent than us.”

ChatGPT is going to change education, not destroy it

The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.

Meet the people who use Notion to plan their whole lives

The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.

Learning to code isn’t enough

Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.