論文

Siméon Capy, Gentiane Venture, Pongsathorn Raksincharoensak

Pedestrians and Cyclists’ Intention Estimation for the Purpose of Autonomous Driving – A Systematic Review –

International Journal of Automotive Engineering, 2023, 14(1), pp. 10-19.

https://doi.org/10.20485/jsaeijae.14.1_10

Toshinori Kojima, Pongsathorn Raksincharoensak

Environment-on-Board Predictive Braking Control Functions for Autonomous Driving During Sudden Changes in the Road Friction Coefficient on Sharp Curves

International Journal of Automotive Technology, 2022, 23(2), pp. 451-460.

https://doi.org/10.1007/s12239-022-0041-y

30 years of AVEC – Looking back on past research for future innovations in vehicle dynamics and chassis control

Shinichiro Horiuchi, Pongsathorn Raksincharoensak
[Keynote] Proceedings of 15th International Symposium on Advanced Vehicle Control (AVEC’22), Kanagawa Institute of Technology, 2022.9.12-15.
No. Tu1C-02.

Motion Planning and Control Based on Risk Field for Risk Predictive Driving Assist System Design

Pongsathorn Raksincharoensak
Proceedings of 15th International Symposium on Advanced Vehicle Control (AVEC’22), Kanagawa Institute of Technology, 2022.9.12-15.
No. Tu1C-02.

Proactive Braking Control Design Based on Risk Assessment at Intersection Right-Turn

Yohei Fujinami, Pongsathorn Raksincharoensak
Proceedings of 15th International Symposium on Advanced Vehicle Control (AVEC’22), Kanagawa Institute of Technology, 2022.9.12-15.
No. Th2A-02.

Detection-Correction of Monocular 3D Bounding Box with LSTM Recurrent Networks

Xingguo Zhang, Qi Xu, Pongsathorn Raksincharoensak
Proceedings of 15th International Symposium on Advanced Vehicle Control (AVEC’22), Kanagawa Institute of Technology, 2022.9.12-15.
No. Tu1B-03.

Decision Making and Motion Control for Automated Collision Avoidance Based on Neural Approximate Approach

YAN ZHANG, Xun Shen, Pongsathorn Raksincharoensak,
Proceedings of 15th International Symposium on Advanced Vehicle Control (AVEC’22), Kanagawa Institute of Technology, 2022.9.12-15.
No. Th2C-04．

大型車の一般路自動走行のための経路計画手法

佐野川 洋, ポンサトーン ラクシンチャラーンサク, 濱口 裕
第31 回 交通・物流部門大会 (TRANSLOG2022)講演論文集, 東京, 2022年11月30日, No.TL2-4, pp.1-10.

ヒヤリ経験のデータから駆動する 推奨速度ドライバモデルの構築に向けたデータ選別法の探究

齊藤裕一, 伊藤誠, ポンサトーン・ラクシンチャラーンサク
2022年度自動車技術会秋季大会学術講演会, 大阪, 2022年10月12日, No. 136, pp.1-6.

リスクポテンシャル最適化に基づく大型 車の狭路自動走行制御手法

佐野川 洋, ポンサトーン ラク シンチャラーンサク, 濱口 裕
日本機械学会機械力学・計測制御部門 Dynamics and Design Conference 2022 (D&D2022), 秋田, 2022年9月6日, OS10-4, No.519.