… trajectory planning and tracking control (ILTPTC) framework for autonomous vehicles driving
along a reference path … For this ILTPTC framework, an efficient state-space sampling-based …

… a practical trajectory planning framework towards fully autonomous driving in … path is extracted
from the digital map using the LIDAR-based localization information. The reference path is …

… a novel framework for safe online trajectory planning of unmanned vehicles through partially
… methodology developed in this thesis can be applied to many autonomous vehicle types, …

… on the real-time trajectory planning problem for autonomous vehicles driving in realistic urban
… adopt a hierarchical motion planning framework. First, a rough reference path is extracted …

… the vehicle control… trajectory planning algorithm for automated vehicles (AV), specifically
designed for emergency situations and based on the Autonomous Decision-Support Framework …

… cooperative trajectory-planning frameworks … vehicles moving along a straight road with one
obstacle is presented. The name of the autonomous vehicle here is MuCCA electric vehicles (…

… introduce a computationally efficient local trajectory planner between the reference path
and the path following controller based on a hierarchical framework. To generate a sufficiently …

… due to the limitation of road regulations and vehicle handling … , some path planning algorithms
for autonomous ground vehicles have been presented: in [13], a path planning framework …

… systems for autonomous vehicles and explain the … vehicle models used for trajectory planning
and low level control. Sections IV and V present the formulations of the trajectory planning …

… planning and tracking control framework capable of dealing with autonomous ground vehicle
… In the motion planning component, a newlyproposed idea of utilizing deep neural networks …