CES 2024

Mission Statement

The digital twin empowers us to foresee the movements of people and objects in the real world, paving the way for a secure and thriving future.

Solution

MICROMOBILITY

DELIVERY ROBOT

SMART MONITORING

In addressing the need for mobility innovation, personal mobility devices like senior cars and electric wheelchairs are anticipated to play a crucial role. To tackle mobility challenges in a super-aging society, we offer personal mobility solutions that can be driven and controlled automatically.

The aging population is on the rise, with an accompanying increase in online shopping and food delivery usage, especially among vulnerable and mobility-impaired individuals. Nevertheless, labor shortages in delivery and retail sales are emerging as a societal concern. To address these challenges in goods mobility, we propose a solution in the form of a transport robot capable of automated operations.

The movement of people and goods plays a pivotal role in revitalizing both urban and rural areas. Nevertheless, mobility introduces the potential for accidents and crimes. Smart indoor/outdoor monitoring systems contribute to enhancing safety and security within the realm of mobility.

Tech

Calibrating and integrating multiple LIDARs.

This technology allows for real-time monitoring and the construction of digital twins. The utilization of multiple LIDAR units offers the advantage of minimizing blind spots and extending spatial information.

Identifying blind spots and predicting spatial information.

This technology enhances the safety of automated driving through the digital twin. Infrastructure-type sensors characterize the space, extracting blind spot information linked to mobility. Moreover, AI-driven future prediction of spatial information concentrates on space, facilitating real-time anticipation of potential risks (such as unexpected ejections or the appearance of objects from blind spots), establishing a crucial link to mobility.

Edge AI seamlessly integrates "vision" into sensorless mobility.

This technology facilitates safe and seamless automated driving. The combination of vehicle sensors and infrastructure-type sensors through dual sensing ensures the robust operation of automated vehicles.