Fix index out-of-bounds bug in Kalman Filter test.
parent
f80818cf3f
commit
ced0569b6d
|
@ -362,8 +362,8 @@ public:
|
|||
TEST( ExtendedKalmanFilter, nonlinear ) {
|
||||
|
||||
// Create the set of expected output TestValues (generated using Matlab Kalman Filter)
|
||||
Point2 expected_predict[11];
|
||||
Point2 expected_update[11];
|
||||
Point2 expected_predict[10];
|
||||
Point2 expected_update[10];
|
||||
expected_predict[0] = Point2(0.81,0.99);
|
||||
expected_update[0] = Point2(0.824926197027,0.29509808);
|
||||
expected_predict[1] = Point2(0.680503230541,0.24343413);
|
||||
|
@ -409,11 +409,11 @@ TEST( ExtendedKalmanFilter, nonlinear ) {
|
|||
Point2 x_predict, x_update;
|
||||
for(unsigned int i = 0; i < 10; ++i){
|
||||
// Create motion factor
|
||||
NonlinearMotionModel motionFactor(Symbol('x',i-1), Symbol('x',i));
|
||||
NonlinearMotionModel motionFactor(Symbol('x',i), Symbol('x',i+1));
|
||||
x_predict = ekf.predict(motionFactor);
|
||||
|
||||
// Create a measurement factor
|
||||
NonlinearMeasurementModel measurementFactor(Symbol('x',i), Vector_(1, z[i]));
|
||||
NonlinearMeasurementModel measurementFactor(Symbol('x',i+1), Vector_(1, z[i]));
|
||||
x_update = ekf.update(measurementFactor);
|
||||
|
||||
EXPECT(assert_equal(expected_predict[i],x_predict, 1e-6));
|
||||
|
|
Loading…
Reference in New Issue