sl-controls
84c8b6a0ae
New packages:
saltybot_social_msgs — FusedTarget.msg custom message
saltybot_social_tracking — 4-state Kalman fusion node
saltybot_social_tracking/tracking_fusion_node.py
Subscribes to /uwb/target (PoseStamped, ~10 Hz) and /person/target
(PoseStamped, ~30 Hz) and publishes /social/tracking/fused_target
(FusedTarget) at 20 Hz.
Source arbitration:
• "fused" — both UWB and camera are fresh; confidence-weighted blend
• "uwb" — UWB fresh, camera stale
• "camera" — camera fresh, UWB stale
• "predicted" — all sources stale; KF coasts for up to predict_timeout (3 s)
Kalman filter (kalman_tracker.py):
State [x, y, vx, vy] with discrete Wiener acceleration noise model
(process_noise=3.0 m/s²) sized for EUC speeds (20-30 km/h, ≈5.5-8.3 m/s).
Separate UWB (0.20 m) and camera (0.12 m) measurement noise.
Velocity estimate converges after ~3 s of 10 Hz UWB measurements.
Confidence model (source_arbiter.py):
Per-source confidence = quality × max(0, 1 - age/timeout).
Composite confidence accounts for KF positional uncertainty and
is capped at 0.4 during dead-reckoning ("predicted") mode.
Tests: 58/58 pass (no ROS2 runtime required).
Note: saltybot_social_msgs here adds FusedTarget.msg; PR #98
(Issue #84) adds PersonalityState.msg + QueryMood.srv to the same
package. The maintainer should squash-merge #98 first and rebase
this branch on top of it before merging to avoid the package.xml
conflict.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
33 lines
973 B
Python
33 lines
973 B
Python
from setuptools import setup, find_packages
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import os
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from glob import glob
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package_name = "saltybot_social_tracking"
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setup(
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name=package_name,
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version="0.1.0",
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packages=find_packages(exclude=["test"]),
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data_files=[
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("share/ament_index/resource_index/packages",
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[f"resource/{package_name}"]),
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(f"share/{package_name}", ["package.xml"]),
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(os.path.join("share", package_name, "config"),
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glob("config/*.yaml")),
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(os.path.join("share", package_name, "launch"),
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glob("launch/*.py")),
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],
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install_requires=["setuptools"],
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zip_safe=True,
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maintainer="sl-controls",
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maintainer_email="sl-controls@saltylab.local",
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description="Multi-modal tracking fusion (UWB + camera Kalman filter)",
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license="MIT",
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tests_require=["pytest"],
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entry_points={
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"console_scripts": [
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f"tracking_fusion_node = {package_name}.tracking_fusion_node:main",
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],
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},
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)
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