Presentation 2024-03-03
Improving vehicle trajectory prediction accuracy considering lane width and vehicle type information
Kohei Yamashiro, Tomonobu Ozaki,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # AI2023-44
Date of Issue 2024-02-25 (AI)

Conference Information
Committee AI / JSAI-SAI / JSAI-DOCMAS / IPSJ-ICS / JSAI-KBS
Conference Date 2024/3/3(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Katsuhide Fujita(Tokyo Univ. of Agriculture and Technology)
Vice Chair Yuko Sakurai(Nagoya Inst. of Tech.) / Tadachika Ozono(Nagoya Inst. of Tech.)
Secretary Yuko Sakurai(Chuo Univ.) / Tadachika Ozono(Toho Univ.)
Assistant

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing / Special Interest Group on Society and Artificial Intelligence / Special Interest Group on Data Oriented Constructive Mining and Simulation / Special Interest Group on Intelligence and Complex Systems / Special Interest Group on Knowledge-Based Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improving vehicle trajectory prediction accuracy considering lane width and vehicle type information
Sub Title (in English)
Keyword(1)
1st Author's Name Kohei Yamashiro
1st Author's Affiliation Nihon University(Nihon-U)
2nd Author's Name Tomonobu Ozaki
2nd Author's Affiliation Nihon University(Nihon-U)
Date 2024-03-03
Paper # AI2023-44
Volume (vol) vol.123
Number (no) AI-412
Page pp.pp.1-4(AI),
#Pages 4
Date of Issue 2024-02-25 (AI)