Racing Game using Geographical Survey Institute data

Abstract

Currently, in the development of control algorithms for a self-driving car and electric vehicles, tests using actual vehicles are expensive. So the number of trials is limited. Therefore development is being carried out by simulation in a virtual space. There is no limit on the number of trials because it is done by computer calculations. On the other hand, today’s self-driving cars and electric cars use a rider to acquire information from the real world and control the road data such as slope and road surface conditions to perform control, so that Testing in a controlled environment is becoming neccesarry. However constructing an environment in a virtual space on a computer is a very time-consuming task, and requires a large amount of cost. This development is to develop a large-scale urban space model with information necessary for a simulator as an asset of the external environment by combining the open data of the Geographical Survey Institute and an inexpensive development environment such as a game engine.