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- ruff --fix: removed trailing whitespace (W293), sorted imports (I001) - Manual: broke long lines (E501) in eskf, rotation, vo, gpr, metric, pipeline, rotation tests - Removed unused imports (F401) in models.py, schemas/__init__.py - pyproject.toml: line-length 100→120, E501 ignore for abstract interfaces ruff check: 0 errors. pytest: 195 passed / 8 skipped. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
390 lines
13 KiB
Python
390 lines
13 KiB
Python
"""Tests for CoordinateTransformer (F13) — Real coordinate chain (ESKF-06)."""
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import numpy as np
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import pytest
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from gps_denied.core.coordinates import (
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CoordinateTransformer,
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OriginNotSetError,
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_build_intrinsic_matrix,
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_cam_to_body_rotation,
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_quat_to_rotation_matrix,
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)
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from gps_denied.schemas import CameraParameters, GPSPoint
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@pytest.fixture
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def transformer():
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return CoordinateTransformer()
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def test_enu_origin_management(transformer):
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fid = "flight_123"
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origin = GPSPoint(lat=48.0, lon=37.0)
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# Before setting
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with pytest.raises(OriginNotSetError):
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transformer.get_enu_origin(fid)
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# After setting
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transformer.set_enu_origin(fid, origin)
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assert transformer.get_enu_origin(fid).lat == 48.0
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def test_gps_to_enu(transformer):
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fid = "flight_123"
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origin = GPSPoint(lat=48.0, lon=37.0)
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transformer.set_enu_origin(fid, origin)
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# Same point -> 0, 0, 0
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enu = transformer.gps_to_enu(fid, origin)
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assert enu == (0.0, 0.0, 0.0)
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# Point north
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target = GPSPoint(lat=48.01, lon=37.0)
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enu_n = transformer.gps_to_enu(fid, target)
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assert enu_n[0] == 0.0
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assert enu_n[1] > 1000.0 # 0.01 deg lat is > 1km
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assert enu_n[2] == 0.0
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def test_enu_roundtrip(transformer):
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fid = "flight_123"
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origin = GPSPoint(lat=48.0, lon=37.0)
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transformer.set_enu_origin(fid, origin)
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test_gps = GPSPoint(lat=48.056, lon=37.123)
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enu = transformer.gps_to_enu(fid, test_gps)
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recovered = transformer.enu_to_gps(fid, enu)
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assert pytest.approx(recovered.lat, abs=1e-6) == test_gps.lat
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assert pytest.approx(recovered.lon, abs=1e-6) == test_gps.lon
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def test_pixel_to_gps_flow(transformer):
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fid = "flight_123"
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origin = GPSPoint(lat=48.0, lon=37.0)
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transformer.set_enu_origin(fid, origin)
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cam = CameraParameters(
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focal_length=25.0,
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sensor_width=23.5,
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sensor_height=15.6,
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resolution_width=4000,
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resolution_height=3000,
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)
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# Image center should yield approximately the frame center
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cx = cam.resolution_width / 2.0
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cy = cam.resolution_height / 2.0
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pixel = (cx, cy)
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pose = {"position": [0, 0, 0]}
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q_identity = np.array([1.0, 0.0, 0.0, 0.0])
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gps_res = transformer.pixel_to_gps(fid, pixel, pose, cam, 100.0, quaternion=q_identity)
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assert pytest.approx(gps_res.lat, abs=1e-4) == origin.lat
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assert pytest.approx(gps_res.lon, abs=1e-4) == origin.lon
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# Inverse must match pixel
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pix_res = transformer.gps_to_pixel(fid, gps_res, pose, cam, 100.0, quaternion=q_identity)
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assert abs(pix_res[0] - pixel[0]) < 1.0
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assert abs(pix_res[1] - pixel[1]) < 1.0
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# And image_object_to_gps should work
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obj_gps = transformer.image_object_to_gps(
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fid, 1, pixel, frame_pose=pose, camera_params=cam, altitude=100.0, quaternion=q_identity
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)
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assert pytest.approx(obj_gps.lat, abs=1e-4) == origin.lat
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# ============================================================================
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# ESKF-06: Real Coordinate Chain Tests
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# ============================================================================
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class TestIntrinsicMatrix:
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"""Tests for camera intrinsic matrix construction."""
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def test_build_intrinsic_matrix_adti_20l_v1(self):
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"""Test K matrix for ADTI 20L V1 camera with 16mm lens."""
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cam = CameraParameters(
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focal_length=16.0,
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sensor_width=23.2,
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sensor_height=15.4,
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resolution_width=5456,
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resolution_height=3632,
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)
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K = _build_intrinsic_matrix(cam)
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# Expected focal lengths
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fx_expected = 16.0 * 5456 / 23.2
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fy_expected = 16.0 * 3632 / 15.4
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assert K.shape == (3, 3)
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assert abs(K[0, 0] - fx_expected) < 1.0 # fx
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assert abs(K[1, 1] - fy_expected) < 1.0 # fy
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assert abs(K[0, 2] - 2728.0) < 1.0 # cx (center)
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assert abs(K[1, 2] - 1816.0) < 1.0 # cy (center)
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assert K[2, 2] == 1.0
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def test_build_intrinsic_matrix_custom_principal_point(self):
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"""Test K matrix with custom principal point."""
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cam = CameraParameters(
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focal_length=16.0,
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sensor_width=23.2,
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sensor_height=15.4,
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resolution_width=5456,
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resolution_height=3632,
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principal_point=(2700.0, 1800.0),
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)
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K = _build_intrinsic_matrix(cam)
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assert abs(K[0, 2] - 2700.0) < 0.1 # cx
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assert abs(K[1, 2] - 1800.0) < 0.1 # cy
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class TestCameraToBodyRotation:
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"""Tests for camera-to-body rotation matrix."""
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def test_cam_to_body_is_180_x_rotation(self):
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"""Test that camera-to-body rotation is Rx(180deg)."""
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R_cam_body = _cam_to_body_rotation()
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# Should flip Y and Z axes, keep X
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assert R_cam_body.shape == (3, 3)
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assert R_cam_body[0, 0] == 1.0
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assert R_cam_body[1, 1] == -1.0
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assert R_cam_body[2, 2] == -1.0
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assert np.allclose(np.linalg.det(R_cam_body), 1.0) # det = 1 (proper rotation)
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class TestQuaternionRotation:
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"""Tests for quaternion to rotation matrix conversion."""
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def test_identity_quaternion(self):
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"""Test identity quaternion [1, 0, 0, 0] produces identity matrix."""
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q = np.array([1.0, 0.0, 0.0, 0.0])
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R = _quat_to_rotation_matrix(q)
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assert np.allclose(R, np.eye(3))
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def test_90_degree_z_rotation(self):
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"""Test 90-degree rotation around Z axis."""
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# q = [cos(45deg), 0, 0, sin(45deg)] for 90-degree rotation around Z
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angle = np.pi / 4 # 45 degrees
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q = np.array([np.cos(angle), 0.0, 0.0, np.sin(angle)])
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R = _quat_to_rotation_matrix(q)
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# Should rotate [1, 0, 0] to approximately [0, 1, 0]
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x_axis = np.array([1.0, 0.0, 0.0])
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rotated = R @ x_axis
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expected = np.array([0.0, 1.0, 0.0])
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assert np.allclose(rotated, expected, atol=0.01)
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class TestPixelToGPSChain:
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"""Tests for full pixel-to-GPS projection chain (ESKF-06)."""
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def test_image_center_nadir_projection(self):
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"""Test that image center pixel projects to UAV nadir position."""
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transformer = CoordinateTransformer()
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origin = GPSPoint(lat=48.0, lon=37.0)
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transformer.set_enu_origin("f1", origin)
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cam = CameraParameters(
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focal_length=16.0,
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sensor_width=23.2,
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sensor_height=15.4,
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resolution_width=5456,
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resolution_height=3632,
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)
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# Center pixel with identity quaternion (level flight)
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pixel = (2728.0, 1816.0)
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pose = {"position": [0.0, 0.0, 0.0]}
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q_identity = np.array([1.0, 0.0, 0.0, 0.0])
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gps = transformer.pixel_to_gps(
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"f1", pixel, pose, cam, altitude=600.0, quaternion=q_identity
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)
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# Center pixel should project to UAV nadir (origin)
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assert abs(gps.lat - 48.0) < 0.001
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assert abs(gps.lon - 37.0) < 0.001
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def test_pixel_offset_produces_ground_offset(self):
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"""Test that off-center pixel offsets project to corresponding ground distance."""
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transformer = CoordinateTransformer()
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origin = GPSPoint(lat=48.0, lon=37.0)
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transformer.set_enu_origin("f1", origin)
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cam = CameraParameters(
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focal_length=16.0,
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sensor_width=23.2,
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sensor_height=15.4,
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resolution_width=5456,
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resolution_height=3632,
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)
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pose = {"position": [0.0, 0.0, 0.0]}
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q_identity = np.array([1.0, 0.0, 0.0, 0.0])
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altitude = 600.0
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# Center pixel
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center_pixel = (2728.0, 1816.0)
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center_gps = transformer.pixel_to_gps(
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"f1", center_pixel, pose, cam, altitude=altitude, quaternion=q_identity
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)
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# Offset pixel (100 pixels to the right)
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offset_pixel = (2828.0, 1816.0)
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offset_gps = transformer.pixel_to_gps(
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"f1", offset_pixel, pose, cam, altitude=altitude, quaternion=q_identity
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)
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# Longitude difference should be non-zero (right = east = longer)
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assert offset_gps.lon != center_gps.lon
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def test_altitude_scaling_is_linear(self):
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"""Test that doubling altitude doubles ground distance from nadir."""
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transformer = CoordinateTransformer()
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origin = GPSPoint(lat=48.0, lon=37.0)
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transformer.set_enu_origin("f1", origin)
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cam = CameraParameters(
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focal_length=16.0,
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sensor_width=23.2,
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sensor_height=15.4,
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resolution_width=5456,
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resolution_height=3632,
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)
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pose = {"position": [0.0, 0.0, 0.0]}
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q_identity = np.array([1.0, 0.0, 0.0, 0.0])
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pixel = (2728.0 + 100, 1816.0) # Offset pixel
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# Project at altitude 300m
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gps_300 = transformer.pixel_to_gps(
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"f1", pixel, pose, cam, altitude=300.0, quaternion=q_identity
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)
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# Project at altitude 600m
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gps_600 = transformer.pixel_to_gps(
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"f1", pixel, pose, cam, altitude=600.0, quaternion=q_identity
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)
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# Distance from origin should scale with altitude (roughly)
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# At 600m, ground distance should be ~2x that at 300m
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dist_300 = abs(gps_300.lon - 37.0)
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dist_600 = abs(gps_600.lon - 37.0)
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ratio = dist_600 / dist_300 if dist_300 > 0 else 1.0
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assert 1.8 < ratio < 2.2 # Allow some numerical tolerance
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class TestGPSToPixelInverse:
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"""Tests for GPS-to-pixel projection (inverse of pixel-to-GPS)."""
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def test_gps_to_pixel_is_inverse(self):
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"""Test that gps_to_pixel is the exact inverse of pixel_to_gps."""
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transformer = CoordinateTransformer()
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origin = GPSPoint(lat=48.0, lon=37.0)
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transformer.set_enu_origin("f1", origin)
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cam = CameraParameters(
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focal_length=16.0,
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sensor_width=23.2,
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sensor_height=15.4,
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resolution_width=5456,
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resolution_height=3632,
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)
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pose = {"position": [0.0, 0.0, 0.0]}
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q_identity = np.array([1.0, 0.0, 0.0, 0.0])
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original_pixel = (2728.0 + 50, 1816.0 - 30)
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# pixel -> GPS
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gps = transformer.pixel_to_gps(
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"f1", original_pixel, pose, cam, altitude=600.0, quaternion=q_identity
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)
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# GPS -> pixel
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recovered_pixel = transformer.gps_to_pixel(
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"f1", gps, pose, cam, altitude=600.0, quaternion=q_identity
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)
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# Should recover original pixel
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assert abs(recovered_pixel[0] - original_pixel[0]) < 1.0
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assert abs(recovered_pixel[1] - original_pixel[1]) < 1.0
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def test_roundtrip_with_quaternion(self):
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"""Test pixel-GPS-pixel roundtrip with non-identity quaternion."""
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transformer = CoordinateTransformer()
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origin = GPSPoint(lat=48.0, lon=37.0)
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transformer.set_enu_origin("f1", origin)
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cam = CameraParameters(
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focal_length=16.0,
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sensor_width=23.2,
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sensor_height=15.4,
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resolution_width=5456,
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resolution_height=3632,
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)
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pose = {"position": [100.0, 50.0, 0.0]}
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# Small 30-degree rotation around Z
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angle = np.radians(30)
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q = np.array([np.cos(angle / 2), 0, 0, np.sin(angle / 2)])
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original_pixel = (2728.0, 1816.0) # Center
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gps = transformer.pixel_to_gps(
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"f1", original_pixel, pose, cam, altitude=600.0, quaternion=q
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)
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recovered_pixel = transformer.gps_to_pixel(
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"f1", gps, pose, cam, altitude=600.0, quaternion=q
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)
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# Center pixel should still recover to center
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assert abs(recovered_pixel[0] - 2728.0) < 10.0
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assert abs(recovered_pixel[1] - 1816.0) < 10.0
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class TestTransformPoints:
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"""Tests for homography transform via cv2.perspectiveTransform."""
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def test_transform_points_identity(self):
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"""Test homography transform with identity matrix."""
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transformer = CoordinateTransformer()
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H = [[1, 0, 0], [0, 1, 0], [0, 0, 1]] # Identity
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points = [(10.0, 20.0), (30.0, 40.0)]
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result = transformer.transform_points(points, H)
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assert len(result) == 2
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assert abs(result[0][0] - 10.0) < 0.1
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assert abs(result[0][1] - 20.0) < 0.1
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assert abs(result[1][0] - 30.0) < 0.1
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assert abs(result[1][1] - 40.0) < 0.1
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def test_transform_points_translation(self):
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"""Test homography with translation."""
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transformer = CoordinateTransformer()
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# Translate by (100, 50)
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H = [[1, 0, 100], [0, 1, 50], [0, 0, 1]]
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points = [(0.0, 0.0)]
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result = transformer.transform_points(points, H)
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assert len(result) == 1
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assert abs(result[0][0] - 100.0) < 0.1
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assert abs(result[0][1] - 50.0) < 0.1
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def test_transform_points_empty(self):
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"""Test transform_points with empty point list."""
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transformer = CoordinateTransformer()
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H = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]
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result = transformer.transform_points([], H)
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assert result == []
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