Skip to main content
  1. Home
  2. Emerging Tech
  3. Cars
  4. News

New computer vision app helps travelers interpret foreign road signs on the fly

Add as a preferred source on Google

You know how Google hopes to “organize the world’s information and make it universally accessible and useful?” Swedish startup Mapillary wants to do the same thing with the world’s road signs.

As it turns out, from warnings about polar bears to alerts concerning “invisible cows,” there are some pretty darn unusual roadside messages you’ll come across as you travel the globe. But if you’re only used to the regular old boring signs found in your neighborhood, being expected to understand all of them from behind the wheel is a tall order.

Recommended Videos

Throw self-driving cars — which need to understand this stuff to get you safely from point A to point B — into the mix and things become even more confusing.

Computer vision company Mapillary has spent the past several years working on just this problem.

“Mapillary is a collaborative street-level imagery platform powered by computer vision,” CEO and co-founder told Digital Trends. “The mission is to understand the world’s places through images and make this understanding available to all. Mapillary provides apps and tools for everyone, enabling individuals, businesses, and governments worldwide to contribute with street-level imagery. All images are connected in 3D and objects recognized in images are automatically labeled and turned into geospatial data. Mapillary has a viewer, APIs, and developer tools for easy use of this imagery and geospatial data in a wide range of applications.”

Already, Mapillary has mapped more than 1.6 million miles of street-level imagery and thanks to its machine learning algorithms and convolutional neural network lays claim to one of the biggest such archives of its kind. On Monday, it announced the addition of 500 new signs to its image recognition system, along with an expansion beyond Europe and the U.S. to cover more than 60 countries — ranging from China to South Africa.

At present, the data is being used to help cities and road authorities do sign inventory, but there are plenty of other possible applications. For instance, how useful would it be to hire a car overseas and have your car spot signs up ahead and give you advance notice, or a quick explainer, on what they mean? While nothing has been announced yet, according to Solem, “[we] have no problems licensing this technology to fit in cars.”

In other words, keep your eyes on this space. But also on the road. Especially when there are polar bears crossing.

Luke Dormehl
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
AI can’t tell if you’re gay or straight, but it thinks it knows what both look like
AI knows it shouldn't judge a face, but apparently, drawing one is a different story.
Emilia Clarke AI generated stock image. Gemini / Nano Banana is on the left

We've all been told not to judge a book by its cover, and you'd think AI would follow that rule, too. Ask an AI chatbot to guess someone's sexual orientation just by looking at their face, and it'll likely tell you that there's no reliable way to know. But what happens when you ask that same model to change someone's appearance to match a particular sexual orientation? Well, that's where things get uncomfortable.

A new study, accepted for presentation at the 2026 Conference on Empirical Methods in Natural Language Processing, found that AI models from OpenAI and Google can be inconsistent when handling sensitive personal characteristics. They might refuse to make assumptions about someone based on their appearance, but when asked to generate those same assumptions visually, the results tell a very different story.

Read more
A clinical study with Google’s special chatbot shows a strong future for AI in healthcare
Google’s medical AI could give doctors a useful second set of eyes
Google Articulate Medical Intelligence Explorer chatbot

AI is a useful tool for handling many tasks in private as well as professional settings, but medical advice, especially diagnosis, is one area where I generally draw the line. General-purpose chatbots tend to sound confident and convincing while giving medical advice, even when they are wrong, as studies have previously found.

That being said, Google's new research points to a much more convincing use for AI in healthcare. Its Articulate Medical Intelligence Explorer chatbot, or AMIE for short, could help prepare both sides before the appointment even begins.

Read more
Relaxation music had one job in this pain study, and favorite songs did it better
Patients who chose their music reported less pain after an IV insertion
Book, Publication, Indoors

Patients’ favorite songs helped ease pain after an IV insertion in a new study, while music specifically chosen for relaxation didn’t show a significant benefit. The soothing soundtrack could apparently use a second opinion.

Researchers at University Hospital Zürich studied 204 patients receiving an IV cannula before an MRI scan. Those listening to their chosen music reported less pain 30 seconds and two minutes after insertion. Across the full sample, the clearest relief came after the needle went in.

Read more