Automotive engineering

KYOCERA showcases the future of self-driving at Japan’s Automotive Engineering Show

KYOCERA Corporation (Hideo TanimotoPresident) exposes to from Japan ‘Automotive Engineering Exposition 2022 YOKOHAMA,’ at PACIFICO Yokohama Conference Center (Yokohama CityKanagawa) May 25-27.

Kyocera’s exhibition (booth #144) will feature our latest technology innovations contributing to autonomous driving under the theme “Connecting Communities with Kyocera Mobility Technology”.

One of the main highlights will be Kyocera’s new “Road Vehicle Cooperation System”, which contributes to the safety of autonomous driving by connecting ITS*1 road systems installed in the road infrastructure with various devices and sensors installed in the vehicle. At the exhibition, we will demonstrate a driving simulator so that visitors can experience the on-road vehicle cooperative system in action.

*This year’s expo is a hybrid event with online and in-person participation possible.

WATCH: ~Kyocera’s Cooperative On-Road Vehicle System~

Photo:

Preview of ‘Automotive Engineering Exposition 2022’

Date	?In-person event?

Wednesday, May 25, 2022Friday May 27. 10:00 a.m. ~ 6:00 p.m.

*Until 5:00 p.m. Friday May 27 only

?Online event?

Wednesday May 25-Tuesday May 31

* Preview days May 18-24

Venue	Pacific Yokohama (Booth #144)
Inebsite	AUTOMOTIVE ENGINEERING EXPOSITION 2022 (jsae.or.jp)

Main content of the exhibition (planned)

Smart V2I road units*2

Smart V2I road units are designed to be installed on utility poles and traffic lights at intersections with poor visibility. This type of device collects information about road infrastructure, such as the location of pedestrians and vehicles and traffic light information, and wirelessly communicates the details to vehicles and bicycles. Additionally, Smart V2I road units can connect sensors, such as FIR*3 cameras and other devices. Blind spot information detected by sensors and other devices is transmitted to the vehicle using V2I units to alert the driver. Photo: Smart V2I road units*2

FIR camera road detection system

The FIR camera system detects the speed and location of objects in the driver’s path. By imaging the far-infrared radiation emitted by these objects, FIR camera systems can reveal information that the human eye is challenged to detect – especially objects obscured by darkness, rain, fog or distance. . Furthermore, they can identify not only pedestrians and cars, but also bicycles, motorcycles and large vehicles such as trucks and buses. The FIR camera traffic detection system helps prevent accidents by communicating information about pedestrians and vehicles in blind spots using the V2I intelligent traffic units. Photo: Road detection system by FIR camera

Autonomous bus demonstration

Kyocera is also developing sensors and components to support autonomous driving technology, such as stereo cameras, millimeter wave radars, and edge sensing cameras. These technologies will be demonstrated in a 3D hologram of an autonomous bus equipped with Kyocera’s sensors and components, as well as in a vehicle control computer developed jointly with Advanced Smart Mobility Co., Ltd.

Photo: stereo camera

Stereo Camera		Photo: Millimeter-Wave Radar

Millimeter wave radar

Driving visibility enhancement technology

In addition to the above, Kyocera will display two new critical image technologies to improve driving visibility by reducing blind spots.

[Driving Visibility Expansion System]

Displays the most appropriate view for the driver and indicates the presence of pedestrians, including side and rear viewing angles, in a user-friendly way.

[Optical Camouflage Technology*4]

Reduces blind spots by making dashboards and pillars transparent.

Photo: Driving Visibility Expansion System (Rendering)

Driving visibility expansion system (rendering)

Technology (Rendering)

Optical camouflage technology (rendering)

*1 ITS: Intelligent Transport Systems

*2 V2I: Vehicle to infrastructure

*3 FIR: Far Infrared

*4 Original optical camouflage technology developed in collaboration with Professor Masahiko Inami of University of Tokyo Advanced Sciences and Technology Research Center.

This press release is intended for media purposes and is current as of the date of publication. Information is subject to change without notice.