Exemplo n.º 1
0
    def __init__(self, twist=None, bias=None, dt=1e-2):
        """Initialize with given twist, a pair(angularVelocityVector, velocityVector)."""

        # setup interactive plotting
        plt.ion()

        # Setup loop as default scenario
        if twist is not None:
            (W, V) = twist
        else:
            # default = loop with forward velocity 2m/s, while pitching up
            # with angular velocity 30 degree/sec (negative in FLU)
            W = np.array([0, -math.radians(30), 0])
            V = np.array([2, 0, 0])

        self.scenario = gtsam.ConstantTwistScenario(W, V)
        self.dt = dt

        self.maxDim = 5
        self.labels = list('xyz')
        self.colors = list('rgb')

        # Create runner
        self.g = 10  # simple gravity constant
        self.params = self.defaultParams(self.g)

        if bias is not None:
            self.actualBias = bias
        else:
            accBias = np.array([0, 0.1, 0])
            gyroBias = np.array([0, 0, 0])
            self.actualBias = gtsam.imuBias_ConstantBias(accBias, gyroBias)

        self.runner = gtsam.ScenarioRunner(
            self.scenario, self.params, self.dt, self.actualBias)
Exemplo n.º 2
0
    def __init__(self,
                 twist: Optional[np.ndarray] = None,
                 bias: Optional[gtsam.imuBias.ConstantBias] = None,
                 params: Optional[gtsam.PreintegrationParams] = None,
                 dt: float = 1e-2):
        """Initialize with given twist, a pair(angularVelocityVector, velocityVector)."""

        # setup interactive plotting
        plt.ion()

        # Setup loop as default scenario
        if twist is not None:
            (W, V) = twist
        else:
            # default = loop with forward velocity 2m/s, while pitching up
            # with angular velocity 30 degree/sec (negative in FLU)
            W = np.array([0, -np.radians(30), 0])
            V = np.array([2, 0, 0])

        self.scenario = gtsam.ConstantTwistScenario(W, V)
        self.dt = dt

        self.maxDim = 5
        self.labels = list('xyz')
        self.colors = list('rgb')

        if params:
            self.params = params
        else:
            # Default params with simple gravity constant
            self.params = self.defaultParams(g=GRAVITY)

        if bias is not None:
            self.actualBias = bias
        else:
            accBias = np.array([0, 0.1, 0])
            gyroBias = np.array([0, 0, 0])
            self.actualBias = gtsam.imuBias.ConstantBias(accBias, gyroBias)

        # Create runner
        self.runner = gtsam.ScenarioRunner(self.scenario, self.params, self.dt,
                                           self.actualBias)

        fig, self.axes = plt.subplots(4, 3)
        fig.set_tight_layout(True)
Exemplo n.º 3
0
    def test_loop_runner(self):
        # Forward velocity 2m/s
        # Pitch up with angular velocity 6 degree/sec (negative in FLU)
        v = 2
        w = math.radians(6)
        W = np.array([0, -w, 0])
        V = np.array([v, 0, 0])
        scenario = gtsam.ConstantTwistScenario(W, V)

        dt = 0.1
        params = gtsam.PreintegrationParams.MakeSharedU(self.g)
        bias = gtsam.imuBias.ConstantBias()
        runner = gtsam.ScenarioRunner(scenario, params, dt, bias)

        # Test specific force at time 0: a is pointing up
        t = 0.0
        a = w * v
        np.testing.assert_almost_equal(np.array([0, 0, a + self.g]),
                                       runner.actualSpecificForce(t))