Zobrazeno 1 - 10
of 379
pro vyhledávání: '"Dongpu Cao"'
Publikováno v:
Engineering, Vol 33, Iss , Pp 108-120 (2024)
Decision-making and motion planning are extremely important in autonomous driving to ensure safe driving in a real-world environment. This study proposes an online evolutionary decision-making and motion planning framework for autonomous driving base
Externí odkaz:
https://doaj.org/article/8d2b2c4a88314845b2bf94fdebece38c
Publikováno v:
Engineering, Vol 33, Iss , Pp 17-34 (2024)
As the complexity of autonomous vehicles (AVs) continues to increase and artificial intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known as the safety of the intended functionality (SOTIF) has emerged, presenting
Externí odkaz:
https://doaj.org/article/2aeac78747184499ad1b99ab5c62ac66
Autor:
Qing Xu, Xuewu Lin, Mengchi Cai, Yu-ang Guo, Chuang Zhang, Kai Li, Keqiang Li, Jianqiang Wang, Dongpu Cao
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 36, Iss 1, Pp 1-11 (2023)
Abstract Environment perception is one of the most critical technology of intelligent transportation systems (ITS). Motion interaction between multiple vehicles in ITS makes it important to perform multi-object tracking (MOT). However, most existing
Externí odkaz:
https://doaj.org/article/2064a0552eb7476e82377b0f44717ecb
Autor:
Wenbo Li, Ruichen Tan, Yang Xing, Guofa Li, Shen Li, Guanzhong Zeng, Peizhi Wang, Bingbing Zhang, Xinyu Su, Dawei Pi, Gang Guo, Dongpu Cao
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-20 (2022)
Measurement(s) electroencephalogram measurement • driving behaviour measurement • face expression, body gesture and road scenario measurement • emotion and persionality Technology Type(s) electroencephalography (EEG) • driving simulator • v
Externí odkaz:
https://doaj.org/article/c99cc6e19f5f426083304c68aa9e4610
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 35, Iss 1, Pp 1-12 (2022)
Abstract The cooperation between an autonomous vehicle and a nearby vehicle is critical to ensure driving safety in the lane-exchanging scenario. The nearby vehicle trajectory needs to be predicted, from which the autonomous vehicle is controlled to
Externí odkaz:
https://doaj.org/article/23813599e2e948d8a3e7e0cece98a486
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 35, Iss 1, Pp 1-18 (2022)
Abstract There is an increasing awareness of the need to reduce traffic accidents and fatality due to vehicle collision. Post-impact hazards can be more serious as the driver may fail to maintain effective control after collisions. To avoid subsequen
Externí odkaz:
https://doaj.org/article/04cb8c74f8bc4bb2be76f6f4893da17a
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 34, Iss 1, Pp 1-18 (2021)
Abstract Planning and decision-making technology at intersections is a comprehensive research problem in intelligent transportation systems due to the uncertainties caused by a variety of traffic participants. As wireless communication advances, vehi
Externí odkaz:
https://doaj.org/article/c791274a071a45ac84eff5ad71b491c9
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 34, Iss 1, Pp 1-11 (2021)
Abstract To reduce the discrepancy between the source and target domains, a new multi-label adaptation network (ML-ANet) based on multiple kernel variants with maximum mean discrepancies is proposed in this paper. The hidden representations of the ta
Externí odkaz:
https://doaj.org/article/12cc745050c94342b21124b674f83197
Publikováno v:
IET Control Theory & Applications, Vol 15, Iss 11, Pp 1506-1517 (2021)
Abstract This paper investigates the formation control of connected autonomous vehicle (CAV) platoons moving in multi lanes using distance‐based formation control techniques based on rigid graphs and V2V communication. A hierarchical architecture i
Externí odkaz:
https://doaj.org/article/a39640e8718a49d1af2b55fc0fa57a04
Publikováno v:
智能科学与技术学报, Vol 2, Pp 101-106 (2020)
This article discusses briefly the history,the state of the art and the future of reinforcement learning,and outlines a roadmap of evolution from learning by doing,doing with planning to parallel intelligence that combining learning virtually in arti
Externí odkaz:
https://doaj.org/article/54aa1ad3bdb9445f91c2a9870520a501