We present the Super-ONE EV. Based on the e-Dash Booster concept, this vehicle aims to allow drivers to feel “The Joy of Responsive Driving.” In addition to increasing power output approximately 1.5-fold with the BOOST mode, it maximizes feedback from the vehicle by combining active sound control (ASC), virtual stepped-shift control, and a triple-meter display.
We also present the Honda Charge service that makes charging EVs even more accessible and comfortable, and the Honda V2H Stand technology that connects EVs and households at home as a part of clean energy infrastructure supporting life and society.
　・Super-ONE
　・Honda Charge
　・Honda V2H Stand

With the concept of “Be the Wind,” we present the Honda WN7. This is Honda’s first electric naked bike. The Honda WN7 features a specially developed lightweight and compact water-cooled motor with an integrated inverter. It combines sophisticated functional beauty with the convenience of CCS2 fast charging and home charging. Together with this, the bike delivers maximum power output equivalent to that of a 600-cc internal combustion engine motorcycle and a maximum torque with performance comparable to that of a 1,000-cc ICE motorcycle. At the same time, it realizes instant torque and agile handling.

We present some examples of resource circulation technology. This technology has seen us take up the challenge of developing products made 100% from sustainable materials to continue providing the joy and freedom of mobility.
●Moderately-priced and high-purity plastic recovery technology (chemical sorting)
●Wrought aluminum recycling technology
●Technology for applying recycling plastic derived from post-consumer waste
●Motorcycle exterior covers that combine high-quality design and sustainability

We present next-generation ADAS technology. This technology leverages the recognition technology and action planning technology we have cultivated in AD development as one of the key technologies in enhancing the intelligence of mobility. Once a destination is set in the navigation system, the car assists with acceleration, steering, and other driving operations throughout the entire route, whether on ordinary roads or highways, to enable a safe and comfortable journey to various destinations, including urban areas.

We present research on safe and sound technology that even extends to the domain outside of the car. This technology reproduces the traffic environment by aggregating road users data acquired from in-vehicle sensors and mobile devices in the cloud. We aim to achieving a cooperative and safety society in which road users understand and cooperate with each other to enhance safety, and digital twin AI that takes into account the conditions and characteristics of those road users, predicts accident risks and derives information to support safe behavior. The technology then conveys that information to the road users through voice-interactive AI and other means to encourage safe behavior before accidents occur.

Conventional driver assistance systems primarily focus on issuing warnings immediately before a collision or after a hazardous situation has already become apparent. To realize a new generation of driver assistance, Honda has developed technologies powered by its unique Cooperative Intelligence (Honda CI), which predict potential risks at an earlier stage and encourage drivers to take safer actions. We introduce two technologies: a CI Driving Assistance Smartphone App that uses AI to predict accident risks from front and rear camera images, and a CI Driving Assistance System that estimates the driver's awareness and cognitive state through an in-cabin camera, providing guidance only when necessary and at the appropriate timing.

We leverage a naturalistic driving database containing data from approximately 3,000 drivers and 50 million miles of real-world driving to analyze drivers' facial expressions, body movements, and other behavioral characteristics. Combined with insights obtained from driving simulator experiments, these data enable the development of highly accurate driver state estimation models. Based on the estimated driver state, our technology provides highly acceptable, non-coercive support for driver state normalization, helping reduce crash risk before accidents occur.