Adding noise does not help much
							parent
							
								
									16c28b2e9c
								
							
						
					
					
						commit
						76297ea2cc
					
				| 
						 | 
				
			
			@ -20,6 +20,7 @@
 | 
			
		|||
#include <gtsam/slam/PriorFactor.h>
 | 
			
		||||
#include <gtsam/nonlinear/lago.h>
 | 
			
		||||
#include <gtsam/nonlinear/GaussNewtonOptimizer.h>
 | 
			
		||||
#include <gtsam/linear/Sampler.h>
 | 
			
		||||
#include <gtsam/base/timing.h>
 | 
			
		||||
 | 
			
		||||
#include <iostream>
 | 
			
		||||
| 
						 | 
				
			
			@ -32,11 +33,19 @@ int main(int argc, char *argv[]) {
 | 
			
		|||
  size_t trials = 1;
 | 
			
		||||
 | 
			
		||||
  // read graph
 | 
			
		||||
  Values::shared_ptr initial;
 | 
			
		||||
  Values::shared_ptr solution;
 | 
			
		||||
  NonlinearFactorGraph::shared_ptr g;
 | 
			
		||||
  string inputFile = findExampleDataFile("w10000");
 | 
			
		||||
  SharedDiagonal model = noiseModel::Diagonal::Sigmas((Vector(3) << 0.05, 0.05, 5.0 * M_PI / 180.0));
 | 
			
		||||
  boost::tie(g, initial) = load2D(inputFile, model);
 | 
			
		||||
  boost::tie(g, solution) = load2D(inputFile, model);
 | 
			
		||||
 | 
			
		||||
  // add noise to create initial estimate
 | 
			
		||||
  Values initial;
 | 
			
		||||
  Sampler sampler(42u);
 | 
			
		||||
  Values::ConstFiltered<Pose2> poses = solution->filter<Pose2>();
 | 
			
		||||
  SharedDiagonal noise = noiseModel::Diagonal::Sigmas((Vector(3) << 0.5, 0.5, 15.0 * M_PI / 180.0));
 | 
			
		||||
  BOOST_FOREACH(const Values::ConstFiltered<Pose2>::KeyValuePair& it, poses)
 | 
			
		||||
    initial.insert(it.key, it.value.retract(sampler.sampleNewModel(noise)));
 | 
			
		||||
 | 
			
		||||
  // Add prior on the pose having index (key) = 0
 | 
			
		||||
  noiseModel::Diagonal::shared_ptr priorModel = //
 | 
			
		||||
| 
						 | 
				
			
			@ -60,7 +69,7 @@ int main(int argc, char *argv[]) {
 | 
			
		|||
 | 
			
		||||
    {
 | 
			
		||||
      gttic_(optimize);
 | 
			
		||||
      GaussNewtonOptimizer optimizer(*g, *initial);
 | 
			
		||||
      GaussNewtonOptimizer optimizer(*g, initial);
 | 
			
		||||
      Values result = optimizer.optimize();
 | 
			
		||||
    }
 | 
			
		||||
 | 
			
		||||
| 
						 | 
				
			
			
 | 
			
		|||
		Loading…
	
		Reference in New Issue