copy
Create deep copy of object
Description
creates a deep copy of the plannerCopy
= copy(planner
)trajectoryOptimalFrenet
object with the same
properties.
Examples
Create a binaryOccupancyMap
with an obstacle grid map.
grid = zeros(50,100); grid(24:26,48:53) = 1; map = binaryOccupancyMap(grid);
Create a state validator. Assign the map and the state bounds to the state validator.
validator = validatorOccupancyMap; validator.Map = map; validator.StateSpace.StateBounds(1:2,:) = [map.XWorldLimits; map.YWorldLimits];
Create a reference path for the planner.
refPath = [0,25;100,25];
Create a trajectoryOptimalFrenet
object.
planner = trajectoryOptimalFrenet(refPath,validator)
planner = trajectoryOptimalFrenet with properties: Weights: [1×1 struct] FeasibilityParameters: [1×1 struct] TimeResolution: 0.1000 NumSegments: 1 DeviationOffset: 0 CostFunction: @trajectoryOptimalFrenet.nullCost TrajectoryList: [1×1 struct] TerminalStates: [1×1 struct] Waypoints: [2×2 double]
Create a copy of trajectoryOptimalFrenet
object.
plannerNew = copy(planner)
plannerNew = trajectoryOptimalFrenet with properties: Weights: [1×1 struct] FeasibilityParameters: [1×1 struct] TimeResolution: 0.1000 NumSegments: 1 DeviationOffset: 0 CostFunction: @trajectoryOptimalFrenet.nullCost TrajectoryList: [1×1 struct] TerminalStates: [1×1 struct] Waypoints: [2×2 double]
Input Arguments
Trajectory optimal Frenet object, specified as a trajectoryOptimalFrenet
object.
Output Arguments
Copy of trajectory optimal Frenet object, returned as a trajectoryOptimalFrenet
object with the same properties.
Version History
Introduced in R2020b
See Also
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