Jaguar Land Rover Researching All-Terrain Autonomous Driving
Jaguar Land Rover has begun researching autonomous driving for any terrain and plans to develop next-generation sensing technologies for the future self-driving car, the company announced.
by Staff
July 14, 2016
Photo courtesy of Jaguar Land Rover.
1 min to read
Photo courtesy of Jaguar Land Rover.
Jaguar Land Rover has begun researching autonomous driving for any terrain and plans to develop next-generation sensing technologies for the future self-driving car, the company announced.
One aspect of the project revolves around surface identification and 3-D path sensing that combines camera, ultrasonic, radar and LIDAR sensors that give the car a 360-degree view of the world around it. The sensors are so advanced that the car could determine surface characteristics, down to the width of a tire, even in rain and falling snow, to plan its route.
Ad Loading...
These sensors could be used to scan the roughness of the road ahead and adjust vehicle spead. The automaker is developing a technology known as Terrain-Based Speed Adaption (TBSA) that uses cameras to sense bumpy terrain including uneven and undulating surfaces and washboard roads, potholes and even standing water. The system is intelligent enough to predict the potential impact of these surfaces on the car’s ride and automatically adjust speed to keep passengers comfortable.
Jaguar Land Rover has connected two Range Rover Sport SUVs together using innovative DSRC (Dedicated Short Range Communications) technology to create an Off-Road Connected Convoy.
This wireless vehicle-to-vehicle (V2V) communications system shares information including vehicle location, wheel-slip, changes to suspension height and wheel articulation, as well as All-Terrain Progress Control (ATPC) and Terrain Response settings instantly between the two vehicles.
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.