… predict the driver intention at unsignalized intersections [11]. Several … motion planning
framework based on target motion prediction for autonomous driving at uncontrolled intersections …

… motion planning model to represent how human drivers assess environments and operate
vehicles in signalized intersections… other in the process of motion planning. In addition, these …

… motion planning and decision-making method for CAVs is proposed at unsignalized
intersections, including intersection … area trajectory planning. The presented approach eliminates …

… In future work, we want to evaluate the proposed merging planning scheme for further
scenarios such as signalized intersections, left-turning, roundabouts, or overtaking maneuvers. …

… ) for improving traffic efficiency and safety in intersections still meets many challenges due to
… multi-vehicle motion planning method for the CAVs at unsignalized intersection scenarios is …

… Since our proposed algorithm, for the motion planning problem in the non-signalized
intersections, must handle two criteria, ie, traffic safety and traffic efficiency, the control input u …

… We collect natural driving data in an urban unsignalized intersection. Table II shows the
sensing data types of the experiment. 3D point clouds that represent the shape of the sur…

… at an intersection merging scenario is formulated as an Intention-Aware motion planning
problem … We utilize the tools from recent intention aware planning framework to demonstrate a …

… intersections, the behavioural path planner is responsible for selecting a driving behaviour
for unsignalized intersection… hidden variables of the intersection users which may generate …

… drivers, this paper proposes a vehicle motion planning model, which can represent how …
in the real signalized intersection. The proposed motion planning model comprises functions of …