Files
calibration/rtk_imu/rtk_attitude.py
T

106 lines
4.0 KiB
Python

"""GNHPR dual-antenna baseline conventions and SO(3) interpolation."""
from __future__ import annotations
from dataclasses import dataclass
import numpy as np
from scipy.spatial.transform import Rotation, Slerp
@dataclass(frozen=True)
class GnhprConvention:
"""Interpretation of the GNHPR ANT1-to-ANT2 baseline.
Heading is clockwise from north. In this vehicle the RTK ``+X`` axis is
the baseline from the main/left antenna (ANT1) to the secondary/right
antenna (ANT2), so it points to vehicle right rather than vehicle forward.
GNHPR pitch is the elevation of that baseline. A two-antenna receiver
cannot observe rotation about the baseline; the reported roll is therefore
not treated as a third independent attitude measurement.
"""
name: str
heading_sign: float = -1.0
pitch_sign: float = -1.0
roll_sign: float = 1.0
EXPECTED_GNHPR = GnhprConvention("ant1_to_ant2__north_cw__elevation_up")
GNHPR_CANDIDATES = (
EXPECTED_GNHPR,
GnhprConvention("north_cw__pitch_opposite", -1.0, 1.0, 1.0),
GnhprConvention("heading_opposite__pitch_nose_up", 1.0, -1.0, 1.0),
GnhprConvention("heading_opposite__pitch_opposite", 1.0, 1.0, 1.0),
)
def gnhpr_to_rotation_enu_rtk(
heading_deg: np.ndarray,
pitch_deg: np.ndarray,
roll_deg: np.ndarray,
convention: GnhprConvention = EXPECTED_GNHPR,
) -> np.ndarray:
"""Build a zero-roll mathematical completion of the baseline frame.
Only the first column (the ANT1-to-ANT2 unit vector) is physically observed
by GNHPR. The remaining columns are a convenient gauge completion and must
not be used as a measured full vehicle attitude.
"""
heading = np.asarray(heading_deg, dtype=float).reshape(-1)
pitch = np.asarray(pitch_deg, dtype=float).reshape(-1)
roll = np.asarray(roll_deg, dtype=float).reshape(-1)
if not (heading.size == pitch.size == roll.size):
raise ValueError("heading, pitch and roll must have equal length")
yaw_rad = np.deg2rad(90.0 + convention.heading_sign * heading)
pitch_rad = np.deg2rad(convention.pitch_sign * pitch)
# A dual-antenna baseline has no independent roll observation. Keep the
# argument for wire-format compatibility, but never inject it into SO(3).
roll_rad = np.zeros_like(roll)
angles = np.column_stack([yaw_rad, pitch_rad, roll_rad])
return Rotation.from_euler('ZYX', angles).as_matrix()
def gnhpr_to_baseline_enu(
heading_deg: np.ndarray,
pitch_deg: np.ndarray,
convention: GnhprConvention = EXPECTED_GNHPR,
) -> np.ndarray:
"""Return ANT1-to-ANT2 unit vectors expressed in ENU.
The result is independent of the unobservable GNHPR roll field.
"""
heading = np.asarray(heading_deg, dtype=float).reshape(-1)
pitch = np.asarray(pitch_deg, dtype=float).reshape(-1)
if heading.size != pitch.size:
raise ValueError("heading and pitch must have equal length")
azimuth = np.deg2rad(heading)
elevation = np.deg2rad(-convention.pitch_sign * pitch)
horizontal = np.cos(elevation)
east = np.sin(azimuth) * horizontal
north = np.cos(azimuth) * horizontal
up = np.sin(elevation)
return np.column_stack([east, north, up])
def interpolate_rotations(
source_t_s: np.ndarray,
rotations: np.ndarray,
query_t_s: np.ndarray,
) -> np.ndarray:
"""Slerp a monotonic SO(3) series without extrapolation."""
source_t = np.asarray(source_t_s, dtype=float).reshape(-1)
query_t = np.asarray(query_t_s, dtype=float).reshape(-1)
matrices = np.asarray(rotations, dtype=float).reshape(-1, 3, 3)
if source_t.size < 2 or matrices.shape[0] != source_t.size:
raise ValueError("need at least two timestamped rotations")
if np.any(np.diff(source_t) <= 0):
unique_t, unique_indices = np.unique(source_t, return_index=True)
source_t = unique_t
matrices = matrices[unique_indices]
if np.any(query_t < source_t[0]) or np.any(query_t > source_t[-1]):
raise ValueError("rotation interpolation does not extrapolate")
return Slerp(source_t, Rotation.from_matrix(matrices))(query_t).as_matrix()