Toyota Testing Advanced Vehicle Safety Features
Toyota is previewing several advanced vehicle safety technologies it hopes to bring to market by the middle of the decade, including dynamic cruise control, lane control, predictive automated driving, and a 3D display.

Photo courtesy of Toyota.

Photo courtesy of Toyota.
Toyota is previewing several advanced vehicle safety technologies it hopes to bring to market by the middle of the decade, including dynamic cruise control, lane control, predictive automated driving, and a 3D display.
The automaker is demonstrating some of the technology at the annual Toyota Advanced Safety Seminar in Ann Arbor, Mich., this week. Toyota will invest $35 million over the next six years in its Collaborative Safety Research Center in Ann Arbor, reports the Detroit Free Press.
Among the new technologies, Toyota is developing "automated highway driving assist," a system that incorporates a trio of new technologies including dynamic radar cruise control, lane trace control, and predictive and interactive HMI (human machine interface). Toyota's dynamic cruise control allows drivers to maintain speed and distance while following another vehicle. Lane trace control pairs radar and a forward-looking camera with sensors to help the vehicle adjust the steering angle to remain in a lane. Predictive and interactive HMI helps monitor the driver for possible distracted driving patterns.
Toyota is also developing SPAD LIDAR that provides environment mapping and recognition to detect the position and shape of obstacles on the roadway. LIDAR is laser radar commonly used by law enforcement officers for speed enforcement.
Lastly, Toyota's 3D heads-up display shows information at specific positions on the roadway through the vehicle's windshield.
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
Read More →
