A novel learning framework for sampling-based motion planning in autonomous driving
… For example, when a planner always tries to find an optimal path with the minimum cost, eg,
… module to allow the planning algorithm to see ahead, optimize the trajectory and relax the …
… module to allow the planning algorithm to see ahead, optimize the trajectory and relax the …
Sampling-based optimal trajectory generation for autonomous vehicles using reachable sets
G Würsching, M Althoff - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
… dependence of the sampling-based planner on the quality of a reference path. Our concept
… , “A sampling-based local trajectory planner for autonomous driving along a reference path,” …
… , “A sampling-based local trajectory planner for autonomous driving along a reference path,” …
Semantic-level maneuver sampling and trajectory planning for on-road autonomous driving in dynamic scenarios
… Huet al.used the sampling-based method [6]–[9] to find all … The red line is the reference path
that was obtained by a high … Sunwoo, “Local path planning for off-road autonomous driving …
that was obtained by a high … Sunwoo, “Local path planning for off-road autonomous driving …
Sampling-based trajectory repairing for autonomous vehicles
… After obtaining the reference path, we repair the section of the invalid trajectory starting from
the cut-off state. To … Demonceaux, “Local path planning in a complex environment for self-…
the cut-off state. To … Demonceaux, “Local path planning in a complex environment for self-…
Application of sampling-based motion planning algorithms in autonomous vehicle navigation
… the graph and a simple local path planner is used to connect them … desired trajectories using
the touch interface for the RRT planner … path that is suitable for semi-autonomous vehicles. …
the touch interface for the RRT planner … path that is suitable for semi-autonomous vehicles. …
Adaptive sampling-based motion planning with a non-conservatively defensive strategy for autonomous driving
… plays an important role in generating vehicle trajectories that … a feasible path, these random
sampling-based methods tend … uniform on the road or along a reference, we can generate a …
sampling-based methods tend … uniform on the road or along a reference, we can generate a …
A practical sampling-based motion planning method for autonomous driving in unstructured environments
X Jin, Z Yan, H Yang, Q Wang - IFAC-PapersOnLine, 2021 - Elsevier
… integration of the RRT-based path finding, constraint-based … The generated local paths can
be further smoothed when … free and feasible reference trajectory for autonomous driving in …
be further smoothed when … free and feasible reference trajectory for autonomous driving in …
Hierarchical trajectory planning of an autonomous car based on the integration of a sampling and an optimization method
… Sampling-based trajectory planning generates the trajectory … optimization technique for
urban autonomous driving. The … generated the local route and the TCD of the planning space. …
urban autonomous driving. The … generated the local route and the TCD of the planning space. …
An efficient sampling-based method for online informative path planning in unknown environments
… to escape local minima or address sub-optimal trajectories. … a new sampling-based online
informative path planning … by continuously expanding a single trajectory tree, allowing the …
informative path planning … by continuously expanding a single trajectory tree, allowing the …
Development of a new integrated local trajectory planning and tracking control framework for autonomous ground vehicles
… local trajectory planning and tracking control (ILTPTC) framework for autonomous vehicles
driving along a reference path … state-space sampling-based trajectory planning scheme is …
driving along a reference path … state-space sampling-based trajectory planning scheme is …