Transactions of Society of Automotive Engineers of Japan
Online ISSN : 1883-0811
Print ISSN : 0287-8321
ISSN-L : 0287-8321
Research Paper
Study on Autonomous Driving Intelligence System by Using Optimal Control Considering Risk Potentaial
Takahiro HasegawaRaksincharoensak PongsathornAkito YamasakiHiroshi MouriMasao Nagai
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JOURNAL FREE ACCESS

2015 Volume 46 Issue 2 Pages 497-502

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Abstract
Recently, automatic braking systems have been deployed in current automotive markets. However, the existing systems cannot avoid collisions in critical scenario such as a pedestrian suddenly darting out from a poor-visibility blind corner. Therefore, this study proposes a motion planning and control system based on situational risk assessment characteristics of expert drivers. By solving the problem combining potential field and optimal control theories, the desired yaw rate and the desired longitudinal deceleration are independently calculated. In addition, the validity of the proposed motion planning and control system is verified by comparing the simulation results with the actual driving data by expert drivers.
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© 2015 Society of Automotive Engineers of Japan, Inc.
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