【Introductory case introduction】 Autonomous driving development platform RoboCar® MiniVan Eisan Technology Co., Ltd. Utilized for automatic driving demonstration experiment on public road

[Introduction case introduction]
Automatic operation development platform RoboCar® MiniVan
Eisan Technology Mr. Utilized for Autonomous Demonstration Experiment on Public Highway

Autonomous Driving development platform RoboCar MiniVan sold by ZMP Co., Ltd. (Bunkyo-ku, Tokyo, CEO: Taniguchi Hisashi , hereinafter referred to as ZMP) was introduced for demonstration experiments on Autonomous Driving in public roads by Eisan Technology Co., Ltd.,. We are pleased to announce the case introduction on our website this time.

 [RoboCar MiniVan Application Case Study] Dear Eisan Technology Co., Ltd.
http://www.zmp.co.jp/case/minivan_180226

                                     


RoboCar® MiniVan introduced to Eisan Technology


At Eisan Technology Co., Ltd., from June 2016 to February 2017, we received a contract from Aichi Prefecture and undertaken the "social acceptability demonstration experiment" for autonomous driving. This was carried out as an autonomous driving demonstration experiment for manned persons carrying local companies and local government officials in Aichi Prefecture, and as an experiment on a general road where vehicles and pedestrians pass through a total extension distance of 50 km and a total travel distance of 2,800 km It has been successful.

As an automated driving test vehicle, RoboCar® MiniVan, an automatic operation development platform developed by ZMP, is utilized, and it is equipped with Velodyne's 3D-LiDAR and FLIR System made monocular camera as a sensor, and high precision created by Eisan Technology Automatic operation is realized using "3D" map and "Autoware" which is open source software for automatic operation.

  
RoboCar MiniVan® Autoware package


At Eisan Technologies, RoboCar® MiniVan is continuously used to "Automatic Driving Service Experiment at Road Station" and "Remote Automatic Driving System Demonstration Experiment" without a Person.

ZMP offers RoboCar® MiniVan based on minivan hybrid vehicles as an Autonomous Driving development platform from 2015 and also offers "RoboCar® MiniVan Autoware package" with Autoware. We also offer RoboCar MiniVan public road travel package, RoboCar MiniVan public road experiment support package such as ZMP`s own Autonomous Driving computing platform "IZACⓇ" to promote the research and development of a number of research institutions and companies.

We will continue to contribute to the development of Autonomous Driving technology through provision of an Autonomous Driving development platform and support with demonstration experiments.


About ZMP RoboCar Minivan
http://www.zmp.co.jp/products/robocar-minivan

Features of RoboCar MiniVan
· Can acquire CAN information (speed, steering, accelerator, brake, shift position, etc.)
· Optional external sensors such as stereo camera and laser range sensor,
. High capacity battery system, etc
· Control of steering, accelerator and brake
· User program can be executed by ZMP proprietary controller
· Switchable between Automatic control mode and Manual mode

Basic functions of Autoware

  • 3D self-position estimation
  • 3D map generation
  • Navi App
  • Route generation
  • Route following (0 to 60 km / h)
  • Turn right at intersection / Stop once
  • Automatic stop
  • Automatic parking vehicle recognition
  • Pedestrian recognition
  • Lane recognition
  • Sign recognition
  • Road sign recognition
  • Signal recognition
  • Mobile tracking
  • Lane change


Price
RoboCar MiniVan 18,00,0000 yen (excluding tax)
RoboCar Minivan Autoware Package 23,800,000 yen (excluding tax)

<Configuration>
· ZMP RoboCar Minivan × 1
· 3D LIDAR × 1
· Camera (front) × 1
· 1 large capacity battery system
· Control PC × 1
· Autoware installation setting service
(Including running tests on the test course)

<Optional>
· Technical support service
· Creation of high precision 3D map
. Installation and running test
* The price will be changed depending on sensor configuration.


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