Continental’s newest version of eHorizon, on display at CES, uses the cloud and crowd intelligence to promote greater vehicle safety and cut fuel consumption.
by Staff
January 4, 2016
Continental's dynamic eHorizon allows looking around the corner to spot hazards earlier. Image courtesy of Continental.
1 min to read
Continental's dynamic eHorizon allows looking around the corner to spot hazards earlier. Image courtesy of Continental.
Auto safety supplier Continental Corp. will be demonstrating the latest generation of its eHorizon technology, which uses data from the cloud to predict upcoming road conditions, at the Consumer Electronics Show this week.
Continental will conduct two demonstrations, both on public roads in Las Vegas, the company said. The latest version of eHorizon builds on the success of the static eHorizon, which uses data from a static map stored in the vehicle. The system can enable a significant reduction of fuel consumption – around 3 percent on average, the company said.
Ad Loading...
Continental has taken development of eHorizon further by using the cloud and crowd intelligence to enhance the digital map in the dynamic eHorizon backend with fresh and accurate information, the company explained. This allows Continental to include dynamic and lane-specific data such as variable speed limits, traffic lights, construction sites, or obstacles on the road.
If a vehicle or obstacle is a potential hazard, a visible warning will appear long before the driver or even the environmental sensors could recognize the trouble zone.
“At CES we will demonstrate how the dynamic eHorizon enhances drivetrains and warns drivers about hidden dangers in real driving situations,” said Ralf Lenninger, head of innovation, system development and strategy at Continental’s interior division. “The result: cleaner and safer vehicles, thanks to Internet technology.”
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.
