Autoware Toolbox: MATLAB/Simulink Benchmark Suite for ROS-based Self-driving Software Platform

被引:12
作者
Miura, Keita [1 ]
Tokunaga, Shota [2 ]
Ota, Noriyuki [3 ]
Tange, Yoshiharu [3 ]
Azumi, Takuya [1 ]
机构
[1] Saitama Univ, Saitama, Japan
[2] Osaka Univ, Suita, Osaka, Japan
[3] NEXTY Elect Corp, Tokyo, Japan
来源
PROCEEDINGS OF THE 30TH INTERNATIONAL WORKSHOP ON RAPID SYSTEM PROTOTYPING (RSP'19): SHORTENING THE PATH FROM SPECIFICATION TO PROTOTYPE | 2019年
关键词
Self-driving System; MATLAB/Simulink; Autonomous vehicle; Autoware;
D O I
10.1145/3339985.3358494
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes a MATLAB/Simulink benchmark suite for an open-source self-driving system based on Robot Operating System (ROS). In recent years, self-driving systems have been developed worldwide, and the technology has been making remarkable progress. One approach to the development of the self-driving systems is the utilization of ROS which is an open-source middleware framework used for developing robot applications. On the other hand, the popular approach in the automotive industry is the utilization of MATLAB/Simulink which is the software for modeling, simulating, and analyzing. MATLAB/Simulink provides an interface between ROS and MATLAB/Simulink that enables to create functionalities of ROS-based robots in MATLAB/Simulink. However, it has not been fully utilized in the development of the self-driving systems yet because there are not enough open-source models for self-driving. Thus the co-development is difficult. Therefore, we provide a MATLAB/Simulink benchmark suite for a ROS-based self-driving system called Autoware. Autoware is popular opensource software that provides a complete set of self-driving modules. The provided benchmark contains MATLAB/Simulink models. They help to design the ROS-based self-driving systems using MATLAB/Simulink. Moreover, we investigated other benchmarks for self-driving and indicated that this is the first work aiming to the ROS-based self-driving systems with MATLAB/Simulink.
引用
收藏
页码:8 / 14
页数:7
相关论文
共 29 条
[1]  
[Anonymous], ROS: an open-source Robot Operating System
[2]  
[Anonymous], 2014, COMPUTING RES REPOSI
[3]  
[Anonymous], Kinect
[4]   A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].
Arulampalam, MS ;
Maskell, S ;
Gordon, N ;
Clapp, T .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188
[5]  
Bamford T., 2016, A real-time analysis of rock fragmentation using UAV technology
[6]  
Coulter RC, 1992, Tech. rep.
[7]   Open source integrated planner for autonomous navigation in highly dynamic environments [J].
Darweesh H. ;
Takeuchi E. ;
Takeda K. ;
Ninomiya Y. ;
Sujiwo A. ;
Morales L.Y. ;
Akai N. ;
Tomizawa T. ;
Kato S. .
Journal of Robotics and Mechatronics, 2017, 29 (04) :668-684
[8]   Fast Feature Pyramids for Object Detection [J].
Dollar, Piotr ;
Appel, Ron ;
Belongie, Serge ;
Perona, Pietro .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2014, 36 (08) :1532-1545
[9]  
Friedman J, 2006, DES AUT TEST EUROPE, P85
[10]  
Geiger A, 2012, PROC CVPR IEEE, P3354, DOI 10.1109/CVPR.2012.6248074