期刊: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021; 6 (3)
This paper presents a method to dynamically harmonize the behaviors of cyclic vehicular platoons in a closed road network. Different from the open-cha......
期刊: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021; 6 (3)
Recently proposed adaptive platooning strategies for connected automated vehicles are able to address uncertain parameters of the vehicles in the plat......
期刊: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021; 6 (3)
Modeling and predicting human-driven vehicle behaviors are critically important for the planning and control of autonomous vehicles in mixed traffic w......
期刊: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021; 6 (3)
In this paper, we propose a progressive model predictive control scheme (PMPCS) by considering the cooperative control of local planning and path trac......
期刊: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021; 6 (3)
Traditional methods for autonomous driving are implemented with many building blocks from perception, planning and control, making them difficult to g......
期刊: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021; 6 (3)
In this paper, an active fault tolerant control (FTC) scheme is proposed to achieve trajectory tracking of unmanned underwater vehicle (UUV) subject t......
期刊: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021; 6 (3)
Driving safety is quite significant for human drivers, especially in the emergencies and extreme conditions. To advance the active safety of vehicles,......