Make two acceleration scenarios
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				|  | @ -76,13 +76,17 @@ TEST(ScenarioRunner, Loop) { | |||
| } | ||||
| 
 | ||||
| /* ************************************************************************* */ | ||||
| TEST(ScenarioRunner, Accelerating) { | ||||
| namespace initial { | ||||
| // Set up body pointing towards y axis, and start at 10,20,0 with velocity
 | ||||
| // going in X. The body itself has Z axis pointing down
 | ||||
| const Rot3 nRb(Point3(0, 1, 0), Point3(1, 0, 0), Point3(0, 0, -1)); | ||||
| const Point3 P0(10, 20, 0); | ||||
| const Vector3 V0(50, 0, 0); | ||||
| } | ||||
| 
 | ||||
| /* ************************************************************************* */ | ||||
| TEST(ScenarioRunner, Accelerating) { | ||||
|   using namespace initial; | ||||
|   const double a = 0.2;  // m/s^2
 | ||||
|   const Vector3 A(0, a, 0); | ||||
|   const AcceleratingScenario scenario(nRb, P0, V0, A); | ||||
|  | @ -93,7 +97,26 @@ TEST(ScenarioRunner, Accelerating) { | |||
|   ImuFactor::PreintegratedMeasurements pim = runner.integrate(T); | ||||
|   EXPECT(assert_equal(scenario.pose(T), runner.predict(pim).pose, 1e-9)); | ||||
| 
 | ||||
|   Matrix6 estimatedCov = runner.estimatePoseCovariance(T); | ||||
|   Matrix6 estimatedCov = runner.estimatePoseCovariance(T,10000); | ||||
|   EXPECT(assert_equal(estimatedCov, runner.poseCovariance(pim), 0.1)); | ||||
|   cout << estimatedCov << endl << endl; | ||||
|   cout << runner.poseCovariance(pim) << endl; | ||||
| } | ||||
| 
 | ||||
| /* ************************************************************************* */ | ||||
| TEST(ScenarioRunner, AcceleratingAndRotating) { | ||||
|   using namespace initial; | ||||
|   const double a = 0.2;  // m/s^2
 | ||||
|   const Vector3 A(0, a, 0), W(0, 0.1, 0); | ||||
|   const AcceleratingScenario scenario(nRb, P0, V0, A, W); | ||||
| 
 | ||||
|   const double T = 3;  // seconds
 | ||||
|   ScenarioRunner runner(&scenario, T / 10, kGyroSigma, kAccelerometerSigma); | ||||
| 
 | ||||
|   ImuFactor::PreintegratedMeasurements pim = runner.integrate(T); | ||||
|   EXPECT(assert_equal(scenario.pose(T), runner.predict(pim).pose, 1e-9)); | ||||
| 
 | ||||
|   Matrix6 estimatedCov = runner.estimatePoseCovariance(T,10000); | ||||
|   EXPECT(assert_equal(estimatedCov, runner.poseCovariance(pim), 0.1)); | ||||
| } | ||||
| 
 | ||||
|  |  | |||
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