Demo Abstract: Co-simulation Framework for Autonomous Driving Systems with MATLAB/Simulink

2017 ◽  
Author(s):  
Shota Tokunaga ◽  
Takuya Azumi
Keyword(s):  
Autonomous Driving ◽  
Simulation Framework ◽  
Matlab Simulink

Building a V2X Simulation Framework for Future Autonomous Driving

2019 ◽  
Author(s):  
Tsu-Kuang Lee ◽  
Tong-Wen Wang ◽  
Wen-Xuan Wu ◽  
Yu-Chiao Kuo ◽  
Shih-Hsuan Huang ◽  
...  
Keyword(s):  
Autonomous Driving ◽  
Simulation Framework

scholarly journals CoSAM: Co-Simulation Framework for ROS-based Self-driving Systems and MATLAB/Simulink

2021 ◽  
Vol 29 (0) ◽  
pp. 227-235
Author(s):  
Keita Miura ◽  
Shota Tokunaga ◽  
Yuki Horita ◽  
Yasuhiro Oda ◽  
Takuya Azumi
Keyword(s):  
Simulation Framework ◽  
Matlab Simulink

scholarly journals Sensor Reliability in Cyber-Physical Systems Using Internet-of-Things Data: A Review and Case Study

2019 ◽  
Vol 11 (19) ◽  
pp. 2252 ◽  
Author(s):  
Fernando Castaño ◽  
Stanisław Strzelczak ◽  
Alberto Villalonga ◽  
Rodolfo E. Haber ◽  
Joanna Kossakowska
Keyword(s):  
Internet Of Things ◽  
Local Level ◽  
Real Data ◽  
Autonomous Driving ◽  
Cyber Physical Systems ◽  
Simulation Framework ◽  
Widespread Application ◽  
Physical Systems ◽  
Main Research

Nowadays, reliability of sensors is one of the most important challenges for widespread application of Internet-of-things data in key emerging fields such as the automotive and manufacturing sectors. This paper presents a brief review of the main research and innovation actions at the European level, as well as some on-going research related to sensor reliability in cyber-physical systems (CPS). The research reported in this paper is also focused on the design of a procedure for evaluating the reliability of Internet-of-Things sensors in a cyber-physical system. The results of a case study of sensor reliability assessment in an autonomous driving scenario for the automotive sector are also shown. A co-simulation framework is designed in order to enable real-time interaction between virtual and real sensors. The case study consists of an IoT LiDAR-based collaborative map in order to assess the CPS-based co-simulation framework. Specifically, the sensor chosen is the Ibeo Lux 4-layer LiDAR sensor with IoT added capabilities. The modeling library for predicting error with machine learning methods is implemented at a local level, and a self-learning-procedure for decision-making based on Q-learning runs at a global level. The study supporting the experimental evaluation of the co-simulation framework is presented using simulated and real data. The results demonstrate the effectiveness of the proposed method for increasing sensor reliability in cyber-physical systems using Internet-of-Things data.

A Lightweight and Multi-OS Compatible Middleware Designed for Autonomous Driving

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Kun Jiang ◽  
Yunlong Wang ◽  
Shengjie Kou ◽  
Diange Yang
Keyword(s):  
Autonomous Driving

Trend of an Autonomous Driving Control Vehicle

2013 ◽  
Vol 133 (9) ◽  
pp. 595-598
Author(s):  
Kenji SUZUKI ◽  
Hisaaki ISHIDA ◽  
Hirofumi INOSE ◽  
Rui KOBAYASHI
Keyword(s):  
Autonomous Driving
Sign in / Sign up

Export Citation Format

Share Document