Realtime Musical Composition System for Automatic Driving Vehicles

Yoichi Nagashima

doi:10.1007/978-3-319-99426-0_20

Abstract

Automatic driving vehicles (ADV) are drawing attention all over the world. ADV contains many realtime sensors. In the future, people (including the driver) will enjoy BGM without attention to ambient conditions, however, it will be much better than the BGM corresponding to the surrounding situation in real time - rather than being properly chosen from existing music. The author proposes an approach of a “realtime musical composition system for automatic driving vehicles” which generates music in real time without using existing music, so we are free from the copyright issue. The realtime composition system can arrange/modify its generating musical factors/elements with realtime parameters such as sensor information in real time, so it is the best solution for “music in ADV”. This paper reports on the first prototype of realtime composition system for ADV - as collaborative research (2015–2017) with Toyota Central R&D Labs.

Highlights

Automatic driving vehicles (ADV) are drawing attention all over the world
Passengers in the car will enjoy BGM (BackGround Music) without attention to ambient conditions, it will be much better than the BGM corresponding to the surrounding situation in real time
This paper reports the first prototype of realtime composition system for ADV in collaboration (2015-2017) with Toyota Central R&D Labs (TytLabs) [2]

Summary

Introduction

Automatic driving vehicles (ADV) are drawing attention all over the world. ADV contains many realtime sensors : (1) radar sensors and distance sensors for preventing collision, (2) video cameras for "drive recorders" and "monitoring blind spots", (3) GPS receiver, and (4) CAN (Controller Area Network) system with driving data steering, brake, accelerator, speed, etc. The author proposes an approach of using "realtime musical composition system for automatic driving vehicles" which generates music in real time. This is the same idea of "algorithmic musical composition" in the computer music field and it has a long history [1]. Researchers of TytLabs contacted the author one day because they discovered a research report by the author (2005-2006) titled "FMC3 (Free Music Clip for Creative Common)" This was a copyright-free music clip generation system for content creators (only in Japanese) [3]. The 55 types of chord sequence patterns are randomly selected, 3 types of music styles (8beat, 16beat, shuffle) [3] This project with TytLabs inherited and expanded on these FMC3's ideas

Pre-test and Discussion

System Description

Explanation of Musical Structure

Conclusions