The automaker will work with SenseTime, a Chinese artificial intelligence company focused on computer vision and deep learning technologies.
by Staff
December 17, 2017
Though based in Tokyo, Honda maintains North American headquarters in Torrance, Calif. Chinese firm SenseTime operates eight offices throughout Asia, including Hong Kong, Beijing and Tokyo. Photo courtesy of Honda.
1 min to read
Though based in Tokyo, Honda maintains North American headquarters in Torrance, Calif. Chinese firm SenseTime operates eight offices throughout Asia, including Hong Kong, Beijing and Tokyo. Photo courtesy of Honda.
SenseTime, a Chinese firm specializing in artificial intelligence, announced it has signed a long-term research and development deal with Honda to build self-driving cars.
The partnership will combine Honda’s vehicle control system with SenseTime’s artificial intelligence algorithms to create autonomous driving solutions rooted in computer vision technologies, according to SenseTime.
Ad Loading...
The two companies will also collaborate on robot technology. Honda is set to showcase its progress on robotics during the Consumer Electronics Show next month in Las Vegas.
In June, Honda said it plans to deliver fully autonomous vehicles by 2025.
“Safety is the utmost priority when it comes to driving, and it also constitutes the core of our autonomous driving solution,” said SenseTime Japan CEO Lao Shihong. “By combining SenseTime’s strengths in computer vision technologies with Honda’s superior vehicle control technologies, we will together enable a safe and pleasant autonomous driving experience.”
SenseTime, which holds patents for autonomous driving, has also developed chips and embedded systems for smart AI cars, the company said.
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.
