… 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 …

… 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 …

… in driving scenarios … -based motion planning algorithm for automated vehicle participating
at the DARPA Urban Challenge (DUC) is presented in [24] and [25]. A hybrid method based on …

… 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]. …

… 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 …

This article presents a model-based motion planning and control system for autonomous
vehicles and its experimental validation. The system consists of four modules: 1) global routing; …

… of path planning algorithms for autonomous vehicles can be … for trajectory optimization in
local path planning. The uncertainty … intelligent vehicles, analysis and control of switched/hybrid …

… 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 …

… based approaches are among the state-of-the-art approaches in the field of motion planning
for autonomous vehicles [… lateral control for heterogeneous nodes in mixed vehicle platoon …