示例#1
0
def _kinematics_from_tokens(helper: PredictHelper, instance: str,
                            sample: str) -> KinematicsData:
    """
    Returns the 2D position, velocity and acceleration vectors from the given track records,
    along with the speed, yaw rate, (scalar) acceleration (magnitude), and heading.
    :param helper: Instance of PredictHelper.
    :instance: Token of instance.
    :sample: Token of sample.
    :return: KinematicsData.
    """

    annotation = helper.get_sample_annotation(instance, sample)
    x, y, _ = annotation['translation']
    yaw = quaternion_yaw(Quaternion(annotation['rotation']))

    velocity = helper.get_velocity_for_agent(instance, sample)
    acceleration = helper.get_acceleration_for_agent(instance, sample)
    yaw_rate = helper.get_heading_change_rate_for_agent(instance, sample)

    if np.isnan(velocity):
        velocity = 0.0
    if np.isnan(acceleration):
        acceleration = 0.0
    if np.isnan(yaw_rate):
        yaw_rate = 0.0

    hx, hy = np.cos(yaw), np.sin(yaw)
    vx, vy = velocity * hx, velocity * hy
    ax, ay = acceleration * hx, acceleration * hy

    return x, y, vx, vy, ax, ay, velocity, yaw_rate, acceleration, yaw
示例#2
0
    def test_velocity_return_nan_one_obs(self) -> None:

        mock_samples = [{'token': '1', 'timestamp': 0}]
        nusc = MockNuScenes(self.mock_annotations, mock_samples)
        helper = PredictHelper(nusc)

        self.assertTrue(np.isnan(helper.get_velocity_for_agent('1', '1')))
示例#3
0
    def test_velocity(self):

        mock_samples = [{'token': '1', 'timestamp': 0},
                        {'token': '2', 'timestamp': 0.5e6}]

        nusc = MockNuScenes(self.mock_annotations, mock_samples)
        helper = PredictHelper(nusc)

        self.assertEqual(helper.get_velocity_for_agent("1", "2"), np.sqrt(8))
示例#4
0
 def test_velocity_return_nan_big_diff(self):
     mock_samples = [{'token': '1', 'timestamp': 0},
                     {'token': '2', 'timestamp': 2.5e6}]
     nusc = MockNuScenes(self.mock_annotations, mock_samples)
     helper = PredictHelper(nusc)
     self.assertTrue(np.isnan(helper.get_velocity_for_agent('1', '2')))