Proceedings of the Fuzzy System Symposium
34th Fuzzy System Symposium
Session ID : TH1-3
Conference information

proceeding
Integrated Simulator for Decision Making System of Autonomous Driving
*Ryuhei Miyoshi, Ryogo Miyazaki, Kouhei Hashimoto, Yutaro Ishida, Masahiko Watanabe, Kenichi Ui, Ryutarou Ichise, Hiroaki Wagatsuma, Hakaru Tamukoh
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract

Autonomous driving is performed by artificial intelligence (AI) on a computer. If an accident is occurred, the autonomous driving system should show the evidence of decision making to analyze the reasons of accident. In this report, we propose an integrated simulator for a knowledge-based AI that shows the evidence of decision making. To construct the simulator, we combine Autoware, Gazebo and the knowledge-based AI. Autoware is an open source software for autonomous driving, and Gazebo can simulate arbitarary road environments. By using the proposed simulator, we can verify the practicality of knowledge-based AI for autonomous driving many times. Experimental results show that the proposed simulator successfully presents the evidence of decision making.

Content from these authors
© 2018 Japan Society for Fuzzy Theory and Intelligent Informatics
Previous article Next article
feedback
Top