Panasonic launches Autonomous Ride Share service around its headquarters
As autonomous driving evolves and interest in MaaS grows, there are increasing expectations for their adoption in towns and communities.
As the first step towards this direction, Panasonic Corporation has begun offering an autonomous ride share service for its employees around its headquarters in Kadoma City, Osaka Prefecture, Japan.
Panasonic's headquarters are expansive, and more than 10,000 employees often have to travel to and from the many buildings within the vast premises. By providing the autonomous ride share service, Panasonic hopes to alleviate the physical and psychological burden associated with the frequent travel and to improve employees' lives.
Not only does the service realise reassuring autonomous driving in an environment with many pedestrians, unlike the experimental phase, the service is operated by staff in the administration department rather than by developers and other experts.
As a provider of mobility solutions that impact people's everyday living, Panasonic will continue to develop “Last 10-mile” solutions that invigorate people, communities, and the planet.
One lap around the ride share route of about 2.4km is covered in approximately 21 minutes. The flexible operation depending on demand (max. 4 vehicles, min. 10-minute interval, max. 40 round trips). Reservations are to be made using a dedicated app or from a dedicated website. The service is available for Panasonic employees.
In order to operate this service, Panasonic needed to implement autonomous driving vehicles as well as the systems that support them. And to make the autonomous driving service a more familiar presence, Panasonic developed 3 core systems.
Panasonic developed an autonomous driving system for a slow moving compact vehicle equipped with people recognition technology powered by highly accurate deep learning. Even in areas with pedestrians and vehicles, this system enables Panasonic to provide a people-friendly service.
The communication band estimation technology from Panasonic's TV conferencing system enables stable AV transmission and the automotive security technology together realises remote monitoring and control essential for driverless autonomous driving.
Panasonic developed an easy operation management system that helps detect potential dangers by analysing the wide range of risky driving behaviour data obtained during operation and by forecasting. With this, operators do not need in-depth know-how about autonomous driving, and the service can be safely administered with just a few operators.
Panasonic designed a service that can be sustainably provided as infrastructure depending on the analysed demand. Analysis of usage will continue after service launch and learnings will be used to introduce new vehicles, review operation, and to evolve the service to accommodate the users' and community's needs. Panasonic aspires to create mobility solutions that helps forge relationships between people and helps encourage an extensive range of activities.
Panasonic's headquarters are expansive, and more than 10,000 employees often have to travel to and from the many buildings within the vast premises. By providing the autonomous ride share service, Panasonic hopes to alleviate the physical and psychological burden associated with the frequent travel and to improve employees' lives.
Not only does the service realise reassuring autonomous driving in an environment with many pedestrians, unlike the experimental phase, the service is operated by staff in the administration department rather than by developers and other experts.
As a provider of mobility solutions that impact people's everyday living, Panasonic will continue to develop “Last 10-mile” solutions that invigorate people, communities, and the planet.
One lap around the ride share route of about 2.4km is covered in approximately 21 minutes. The flexible operation depending on demand (max. 4 vehicles, min. 10-minute interval, max. 40 round trips). Reservations are to be made using a dedicated app or from a dedicated website. The service is available for Panasonic employees.
In order to operate this service, Panasonic needed to implement autonomous driving vehicles as well as the systems that support them. And to make the autonomous driving service a more familiar presence, Panasonic developed 3 core systems.
Panasonic developed an autonomous driving system for a slow moving compact vehicle equipped with people recognition technology powered by highly accurate deep learning. Even in areas with pedestrians and vehicles, this system enables Panasonic to provide a people-friendly service.
The communication band estimation technology from Panasonic's TV conferencing system enables stable AV transmission and the automotive security technology together realises remote monitoring and control essential for driverless autonomous driving.
Panasonic developed an easy operation management system that helps detect potential dangers by analysing the wide range of risky driving behaviour data obtained during operation and by forecasting. With this, operators do not need in-depth know-how about autonomous driving, and the service can be safely administered with just a few operators.
Panasonic designed a service that can be sustainably provided as infrastructure depending on the analysed demand. Analysis of usage will continue after service launch and learnings will be used to introduce new vehicles, review operation, and to evolve the service to accommodate the users' and community's needs. Panasonic aspires to create mobility solutions that helps forge relationships between people and helps encourage an extensive range of activities.
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Panasonic launches Autonomous Ride Share service around its headquarters
Modified on Wednesday 30th October 2019
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Panasonic launches Autonomous Ride Share service around its headquarters
Panasonic launches Autonomous Ride Share service around its headquarters
Modified on Wednesday 30th October 2019
Find all articles related to:
Panasonic launches Autonomous Ride Share service around its headquarters
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