Argo AI acquires Princeton Lightwave in a move aimed at improving object-detection capabilities in Ford’s self-driving cars.
by Staff
October 27, 2017
Image courtesy of Ford/Argo AI.
1 min to read
Image courtesy of Ford/Argo AI.
Artificial intelligence firm Argo AI, which in February drew a $1 billion investment commitment from Ford, has acquired Princeton Lightwave — a company specializing in LiDAR sensors that are well suited for autonomous vehicles.
Based in San Francisco, Argo AI announced the acquisition in a blog post written by company CEO Bryan Salesky. Argo AI is working to develop a new software platform for Ford’s fully autonomous vehicle coming in 2021.
Ad Loading...
LiDAR (Light Detection and Ranging) sensors “are crucial to creating a three-dimensional view of the world that helps autonomous vehicles find where they are on the road and detect other vehicles, pedestrians and cyclists,” Salesky wrote.
Princeton Lightwave, based in Cranbury, N.J., is a leader in Geiger-mode LiDAR technology.
“Lightwave’s technology will help us unlock new capabilities that will aid our virtual driver system in handling object detection in challenging scenarios, such as poor weather conditions, and safely operating at high speeds in dynamic environments,” Salesky added.
Argo AI’s expansion is expected to expedite the company’s progress in commercializing and deploying self-driving cars at scale.
Distracted driving remains one of the most persistent risks in fleet operations. New approaches focus on removing mobile device use entirely while adding real-time safety support.
As distraction risks evolve, fleets are turning to smarter, more connected technologies to better understand what’s happening behind the wheel. Part 2 explores how these tools are helping identify risky behaviors and improve visibility across operations.
Distracted driving is often measured by what we can see—phones in hand, eyes off the road. But what about the distractions we can’t? A recent incident raises a bigger question about awareness, attention, and why subtle risks so often go unnoticed.
Fleets have more driver data than ever, so why isn't behavior changing? Training requires more than reports and coaching — it requires real-world practice.
A two-part conversation with Stefan Heck on how AI is transforming the fight against distracted driving. As fleets adopt smarter tools, the focus shifts from reacting to preventing risk. In Part 1, we look at where AI is making an impact for fleets today.
An 11% drop in pedestrian fatalities in early 2025 signals progress in U.S. road safety, but elevated death rates and ongoing risks underscore the need for continued action from fleets and policymakers.