… a spatiotemporal trajectory planning architecture as shown in Fig. 1. Upstream of the planning
and control part is the perception and trajectory … is the actuator end of the vehicle. The …

… This framework can achieve faster and smoother spatiotemporal trajectory planning under
the … Most of the current research on autonomous vehicle trajectory planning is based on two-…

… In Figure 6 examples of spatial and temporal … based on a sequential quadratic programming
(SQP) method that performs only one iteration per sampling time, reinitialising the trajectory …

… focuses on the trajectory planning task for on-road autonomous driving. … with constrained
iterative LQR,” IEEE Trans. Intell. Veh., vol. … with a spatiotemporal tunnel and numerical optimal …

… candidate trajectories based on a spatio-temporal lattice [4] and … system, a LQR controller
can be designed to track the planned … where Kt is computed iteratively backwards based on the …

… The spatiotemporal trajectory x can be denoted as n discrete … iterative lqr,” IEEE Transactions
on Intelligent Vehicles, vol. 4… , “Hierarchical trajectory planning of an autonomous car based …

… with an existing spatiotemporal lattice planner using simulations … iterative lqr,” IEEE
Transactions on Intelligent Vehicles, vol. 4, no. … Lee, “Motion planning for autonomous driving with …

… of motion planning algorithms, which … -based interactive planning framework for autonomous
driving. Our method incorporates interaction reasoning into spatio-temporal (st) planning by …

… smoothing, and of the iterative-LQR (1st-order differential … about the spatiotemporal
domain needed for trajectory planning in … We apply the same LQR tracker for both path/trajectory …

… motion planning (OMP) algorithm for robots operating in a hazardous environment, called
adaptive Gaussian-process based stochastic trajectory … consumed for the extra iterations for an …