… local motionplanning framework for autonomous vehicles based on a resistance-network
planner … strategies design for hybrid electric vehicles, intelligent control theory and application, …

… local motion planning framework for autonomous vehicles based on resistance network and
model predictive control,” … -physical systems, hybrid systems, advanced vehicle control, and …

… local trajectory planning and tracking control (ILTPTC) framework for autonomous vehicles
driving … along a guidance path, it is necessary to develop a local motion planner to handle the …

… framework of the local motion planning is designed under the assumption that the ego vehicle
exactly knows the driving … strategies design for hybrid electric vehicles, intelligent control …

… , which provides a precise basis for the local path design. In this paper, GDM is applied to …
idealistic, whereas the information is mixed with noises and disturbances. Additionally, the …

… Policy-based motion planning based on the mixed observability Markov decision process
or Partially Observable Markov Decision Process (POMDP) was proposed as well [13]–[16]. …

… integrated planning and control framework for autonomous driving was proposed based on
a … Using a hierarchical structure, the framework can efficiently generate a longterm planning …

… MOTION planning for autonomous vehicle functions is a vast and long-researched area
using a wide variety of … This work uses mixed grid and ego state observation, hence utilizing …

… In this work, we focus on the Planning aspect of the cycle, with the goal to provide feasible
Motion Planning (MP) for agile automated driving on a gravel race track. This is not only an …

… Hierarchical frameworks were proposed to divide the turning … method to the motion planning
of autonomous vehicles, these … To generate a local path, a Bézier curve was used to connect …