Cargando…
Real-Time Trajectory Prediction Method for Intelligent Connected Vehicles in Urban Intersection Scenarios
Intelligent connected vehicles (ICVs) have played an important role in improving the intelligence degree of transportation systems, and improving the trajectory prediction capability of ICVs is beneficial for traffic efficiency and safety. In this paper, a real-time trajectory prediction method base...
Autores principales: | Wang, Pangwei, Yu, Hongsheng, Liu, Cheng, Wang, Yunfeng, Ye, Rongsheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055911/ https://www.ncbi.nlm.nih.gov/pubmed/36991658 http://dx.doi.org/10.3390/s23062950 |
Ejemplares similares
-
Advanced Pedestrian State Sensing Method for Automated Patrol Vehicle Based on Multi-Sensor Fusion
por: Wang, Pangwei, et al.
Publicado: (2022) -
Connected Vehicle as a Mobile Sensor for Real Time Queue Length at Signalized Intersections
por: Gao, Kai, et al.
Publicado: (2019) -
Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning
por: Ghoul, Tarek, et al.
Publicado: (2021) -
Intersection Vehicle Turning Control for Fully Autonomous Driving Scenarios
por: Ding, Zhizhong, et al.
Publicado: (2021) -
A Framework for Trajectory Prediction of Preceding Target Vehicles in Urban Scenario Using Multi-Sensor Fusion
por: Zou, Bin, et al.
Publicado: (2022)