Tytuł artykułu

GTC-DAN: A graph-temporal convolutional model with dynamic adjacency for vehicle trajectory prediction

Tytuł czasopisma

Bulletin of the Polish Academy of Sciences Technical Sciences

Rocznik

2025

Wolumin

73

Numer

2

Autorzy

Chen, Hao ; Wu, Xuncheng ; Zhang, Ruoping ; Guo, Wenfeng ; Chen, Yang ; Xu, Jiejie ; Zhang, Weiwei ; Yu, Wangpengfei

Afiliacje

Chen, Hao : School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China ; Wu, Xuncheng : School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China ; Zhang, Ruoping : School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China ; Guo, Wenfeng : School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China ; Chen, Yang : Shanghai Smart Vehicle Cooperating Innovation Center Co., Ltd., Shanghai, 201805, China ; Xu, Jiejie : Shanghai Smart Vehicle Cooperating Innovation Center Co., Ltd., Shanghai, 201805, China ; Zhang, Weiwei : Shanghai Smart Vehicle Cooperating Innovation Center Co., Ltd., Shanghai, 201805, China ; Yu, Wangpengfei : Shanghai Smart Vehicle Cooperating Innovation Center Co., Ltd., Shanghai, 201805, China

Słowa kluczowe

autonomous driving ; trajectory prediction ; spatiotemporal modeling ; dynamic interactions

Wydział PAN

Nauki Techniczne

Zakres

e152610

Data

18.12.2024

Typ

Article

Identyfikator

DOI: 10.24425/bpasts.2024.152610 ; ISSN 2300-1917