Ompl

所属分类:自动驾驶
开发工具:C#
文件大小:0KB
下载次数:2
上传日期:2023-12-14 23:15:21
上 传 者sh-1993
说明:  Open Motion Planning Library(OMPL)到的端口。使用SWIG的NET标准
(A port of the Open Motion Planning Library (OMPL) to .NET Standard using SWIG)

文件列表:
Ompl.NetStandard.UnitTests/
Ompl.NetStandard/
ompl @ 1e2f569/
ompl_wrap/
LICENSE
Ompl.NetStandard.sln

# Ompl.NetStandard A port of the Open Motion Planning Library (OMPL) to .NET Standard using SWIG # Original Repo https://github.com/ompl/ompl Currently wrapped OMPL version is OMPL 1.6.0. Example: ```cs var space = new Base.RealVectorStateSpace(3); var bounds = new Base.RealVectorBounds(3); bounds.setLow(0, -3); bounds.setHigh(0, 3); bounds.setLow(1, -3); bounds.setHigh(1, 3); bounds.setLow(2, -3); bounds.setHigh(2, 3); space.setBounds(bounds); space.sanityChecks(); var ss = new Geometric.SimpleSetup(space); var pd = ss.getProblemDefinition(); var si = ss.getSpaceInformation(); var planner = new Geometric.KPIECE1(si); ss.setPlanner(planner); space.setup(); // TODO //var start = new Base.ScopedState(space); //var goal = new Base.ScopedState(space); //space.copyFromReals(start, ...); //space.copyFromReals(goal, ...); //pd.setStartAndGoalStates(start, goal); var objective = new Base.MultiOptimizationObjective(si); //var clearanceObjective = new Base.OptimizationObjective(new ClearanceObjective(si)); //objective.addObjective(clearanceObjective); pd.setOptimizationObjective(objective); //si.setValidStateSamplerAllocator(); si.allocValidStateSampler(); si.setStateValidityCheckingResolution(0.01); ss.solve(1); var solution = ss.getSolutionPath(); var simplifier = ss.getPathSimplifier(); simplifier.reduceVertices(solution); simplifier.smoothBSpline(solution, 3); ```

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