National Institute of Technology,Kumamoto College uses Autonomous driving development platform RoboCar® MV 2 for the line travelling research
Autonomous driving development platform RoboCar® MV 2 sold by ZMP Inc. in Bunkyo-ku, Tokyo (CEO, Hisashi Taniguchi, hereinafter ZMP) has been introduced to the Department of Control and Information Systems Engineering, National Institute of Technology, Kumamoto College. It is being used for the line travelling research using small mobility. We are pleased to announce the case introduction on our website this time.
【Introduction of RoboCar® MV 2 application case】National Institute of Technology,Kumamoto College
RoboCar®MV2 and its exterior(Top and Bottom) which is introduced at National Institute of Technology,Kumamoto College
At the National Institute of Technology, Kumamoto College of Control and Information Systems Engineering in order to improve the efficiency of logistics and living support in less populated areas, research on line travelling in multiple vehicles, modeling of driving behavior as driving assistance for the elderly and handicapped are being done.We are conducting research on driving support equipment.
The introduction of RoboCar® MV 2 was when it was decided to conduct autonomous driving and driving support research in our college on four-wheeled vehicles as a practical example system for the needs of the next generation. RoboCar ® MV 2 was selected as a platform with functions capable of withstanding this research.
From the viewpoint of the management and maintenance of vehicles by elderly people, which are the subjects of this research, has also became a factor determining the introduction of RoboCar® MV 2 with a compact car body.
After product introduction,verification of vehicle control method using model predictive control and machine learning,research on line travelling using three RoboCar ® MV 2,operation of electric vehicle by tablet terminal,construction of driving behavior model for beginners and elderly people.It is utilized for various purposes such as model construction, environment recognition algorithm using camera and LiDAR, demonstration experiment of constructed driving support system.
Professor Kousei Nojiri, who is in charge of utilizing products in future, "I would like to use the development of autonomous line travelling including manual driven vehicles and the validation of a system that autonomous driving vehicles communicate with people inside and outside the car."
At the National Institute of Technology, Kumamoto College, we are working on continuous research to utilize autonomous driving technology in the future and accept it to solve the current problem of local Kumamoto.
In this study, RoboCar® MV 2, an autonomous driving development platform of ZMP is used for experimental vehicles. RoboCar® MV 2 is an autonomous driving development platform modified based on a commercial single-seat electric vehicle which can be controlled from an external computer. The user can easily control the vehicle with the sample program installed on the attached PC. Also, using the information of API (Application Programming Interface) provided for communication with RoboCar® it is possible to control the vehicle from PC owned by the user for autonomous drive or ADAS (advanced driving support system).
In the future,we will contribute to improve autonomous driving technology and solving social issues through provision of autonomous driving development platform and support of demonstration experiment.
About ZMP RoboCarⓇ MV2
Features of RoboCarⓇ MV2
· Compact car body allows experiments indoors and outdoors
· Control of steering, accelerator and brake
· User program can be executed by dedicated controller
· Switchable between Automatic control mode and Manual mode
RoboCar® MV2 Over 8 million yen (excluding tax)
RoboCar® MV2 remote control package Over 9 million yen (excluding tax)
RoboCar® MV2 Autoware package Over 13.3 million yen (excluding tax)
【Basic function of Autoware】
• 3D map generation
• Three-dimensional self-location estimation
• Route generation
• Route follow
• Automatic stop
• Vehicle recognition
• Pedestrian recognition
[Press Release Article]