… Since this work extends its method to the motion planning of autonomous vehicles, these key
… To tackle these challenges and properly plan turning motion at mixed flow intersections, a …

… Finally, a modified pure pursuit based tracking controller is applied to obtain a feasible
control sequence and further smooth the trajectory of the autonomous vehicle. The global …

… require a collision-free and comfortable motion trajectory at every time instant. It is a … In
this paper a Hybrid A* based motion planning algorithm is presented for autonomous vehicles …

… aware motion-planning method for an autonomous vehicle in uncertain multi-vehicle traffic
… maneuvers of surrounding vehicles, and the advantage of model predictive control (MPC) in …

… This paper proposes a novel motion planning and tracking framework based on improved …
of the active collision avoidance systems of autonomous vehicles on structured roads. First, an …

… focus on the Planning aspect of the cycle, with the goal to provide feasible Motion Planning
(MP… a practical benchmark that pushes to the limits our real-time motion planning capabilities. …

… the motion planning algorithm and the vehicle controller, see Figure 1a. The motion planner
is … the vehicle should follow based on the outputs from the sensing and mapping module. A …

… Throughout the paper, we consider autonomous vehicles described by discrete-time LTI
systems(1) x ( t + 1 ) = Φ x ( t ) + G u ( t ) + G w w ( t ) where t ∈ Z + ≔ { 0 , 1 , … } , x ( t ) ∈ R n …

… Our analysis emphasizes how microscopic control of autonomous vehicles (via planning
techniques) could affect the throughput of an intersection. Motion planning is an important …

… planned route is physically viable for vehicle to drive. In the motion planning section of the
proposed method, the route and vehicle velocity can be simultaneously considered through …