Honda Targets 2025 for Highly Automated Vehicles
The automaker announces a new timeline goal for the introduction of vehicles with highly automated driving capability in most driving situations, known as SAE Level 4.

Honda has set 2025 as a target for the debut of vehicles with highly automated driving systems installed.
Photo: Honda
Honda said it’s targeting the year 2025 for the introduction of vehicles with highly automated driving capability in most driving situations, known as SAE Level 4 in the lexicon of autonomous vehicle technology.
This new goal builds upon previously announced plans for Honda and Acura vehicles to have highly automated freeway driving capability, or conditional automation (SAE Level 3), by 2020.
Honda President and CEO Takahiro Hachigo announced at a media briefing held at Honda R&D Co. in Japan, where reporters were able to test drive Honda's automated vehicles.
“We will strive to achieve the technological establishment of Level 4 automated driving for personal car use by around 2025,” Hachigo said. “We are striving to provide our customers with a sense of confidence and trust by offering automated driving that will keep vehicles away from any dangerous situation and that will not make people around the vehicle feel unsafe.”
The freeway test drive demonstration was conducted on a closed test course using a vehicle equipped with an advanced suite of sensors. The test vehicle has multiple cameras, five LIDAR sensors, and five radar sensors.
A second driving scenario, simulating a common urban driving experience, was conducted using the latest generation of Honda artificial intelligence with Deep Learning capability. Equipped with camera sensors only and no LIDAR or GPS, Honda's AI with Deep Learning can sense and respond to complex driving environments and situations, such as roads without proper lane markings.
The system can also detect pedestrians and bicyclists at night with only partial visibility. Also, through advanced artificial intelligence, the system can improve its ability to predict an outcome and take appropriate action.
SAE International, a global association of engineers and technology experts, defines automated driving based on six levels of capability — from zero to five. SAE Level 4 or “high automation” means the vehicle can handle all driving tasks in most driving situations, except in inclement weather conditions or unusual driving environments where the driver might be required to assume control.
Honda is advancing its deployment of advanced safety and driver assistance technologies through the company’s Honda Sensing and AcuraWatch suite of features, which serve as a bridge to the highly automated vehicles of the future. Nearly half a million Honda and Acura vehicles on U.S. roads today are equipped with these technologies, which include autonomous emergency braking via the collision mitigation braking system, lane keeping assist, road departure mitigation, and adaptive cruise control.
More Safety

Nexar-Nauto Merger Aims to Give Fleets Better Safety Intelligence Through Larger Driving Dataset
Stefan Heck tells Automotive Fleet that combining more than 10 billion miles of driving history with Nexar's AI models will give fleets deeper insights into driver risk and roadway conditions than either company could provide independently.
Read More →From Silos to Solutions: Relationship Management for Safer Fleets
From telematics adoption and driver accountability to policy consistency and risk mitigation, this episode breaks down what it really takes to build a safer fleet culture without slowing business down.
Read More →
IIHS Launches First Commercial Vehicle Safety Evaluations
The Insurance Institute for Highway Safety has begun evaluating heavy-duty pickups and cargo vans for driver protection. Which models earned top marks?
Read More →
Reducing Risk by Eliminating Phone Use Behind the Wheel
Hosted with the cofounder of Lifesaver Mobile, this episode addresses phone use behind the wheel and how to design a driving environment that actually helps prevents accidents.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-Time Prevention (Part 2 of 2)
Part Two: Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Continue learning more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab
Read More →
How 5-Second Telematics Data Is Changing Fleet Safety
This episode connects with Steve Santostasi of Ford Pro and covers how a few seconds of data can make a difference in fleet safety.
Read More →
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 →
