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A python3 package for evaluating relative pose measurements between two spatial frames.

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cnspy_relative_pose_evaluation

A python3 package for evaluating relative pose measurements between two spatial frames in order to assess the accuracy. The baseline (ground truth) relative pose can be computed from two recorded 3D trajectories of the moving bodies and known extrinsics to the sensors. These can be specified in a single configuration file, see config.yaml

The following evaluations can be conducted:

Describtion Images
Pose Plot (left: measured, right: gt)
Pose Error Plot (left: position, right: orientation, top: meas, middle: error, bottom: nees)
Range (gt vs. measured) outliers removed
Range Sorted (gt vs. measured) outliers removed
Range Error (measured-gt) outliers removed
Range Error Histogram (filtered) and distribution
Angle (gt vs. measured) outliers set to zero
Angle Error (measured-gt) outliers removed
Angle Error Histogram (filtered) and distribution
Statistics statistics.yaml

Installation

Python 3.6 or greater is required. Inside this repo's directory, you may run

pip3 install .

or pip3 install -e . which installs the package in-place, allowing you make changes to the code without having to reinstall every time.

This package is still in development. Once stable it should be sufficient to run:

pip3 install cnspy_relative_pose_evaluation

Run from terminal

  • RelPoseMeasEvaluationTool
  • RelPoseMeasEvaluation
  • RelPose_ROSBag2CSV
  • ROSBag_TrueRelPoses
  • ROSBag_Poses2RelPose

YAML configuration file

YAML configuration file is in the form of:

# relative pose of the moving sensors with respect to the body frame (pose from BODY to SENSOR)
sensor_positions: {0:[0, 0, 0], 1:[0, 0, 0], 2:[0, 0, 0]}
sensor_orientations: {0:[1.0, 0, 0, 0], 1:[1.0, 0, 0, 0], 2:[1.0, 0, 0, 0]}
# true pose of the body
true_pose_topics: {0: "/uav10/vrpn_client/raw_pose", 1: "/uav11/vrpn_client/raw_pose", 2: "/uav12/vrpn_client/raw_pose"}
# topics of the relative pose measurement
relpose_topics: {0: "/uav10/data_handler/uvdar_fcu", 1: "/uav11/data_handler/uvdar_fcu", 2: "/uav12/data_handler/uvdar_fcu"}

Important notes for the NEES computation

The covariance of the measurements are assumed to represent the position uncertainty in meters and the orientation uncertainty in radians. Currently, three perturbation types are supported EstimationErrorType.type1, EstimationErrorType.type2, or EstimationErrorType.type5.

type1:

type2:

type5:

Please check out: ErrorRepresentationType and EstimationErrorType

Usage

usage: RelPoseMeasEvaluationTool [-h] [--result_dir RESULT_DIR] [--bagfile BAGFILE] --cfg CFG [--save_plot] [--show_plot] [--verbose] [--extra_plots] [--keep_outliers] [--filter_histogram] [--max_range MAX_RANGE] [--max_angle MAX_ANGLE] [--interpolation_type {cubic,linear}] [--min_dt MIN_DT]
                                 [--pose_error_type {type1,type2,type3,type4,type5,type6,none}]

RelPoseMeasEvaluationTool: evaluation the measured relative poses

optional arguments:
  -h, --help            show this help message and exit
  --result_dir RESULT_DIR
                        directory to store results [otherwise bagfile name will be a directory]
  --bagfile BAGFILE     input bag file
  --cfg CFG             YAML configuration file describing the setup: {sensor_positions:{<id>:[x,y,z], ...}, sensor_orientations:{<id>:[w,x,y,z], ...}, relpose_topics:{<id>:<topic_name>, ...}, true_pose_topics:{<id>:<topic_name>, ...}
  --save_plot           saves all plots in the result_dir
  --show_plot           blocks the evaluation, for inspecting individual plots, continuous after closing
  --verbose
  --extra_plots         plots: timestamps, ranges + angles (sorted + unsorted + error),
  --keep_outliers       do not apply the max. thresholds on the error
  --filter_histogram    filters the error histogram, such that the fitted normal distribution is computed on the best bins only
  --max_range MAX_RANGE
                        max. range that classifies them as outlier (0 disables feature).
  --max_angle MAX_ANGLE
                        max. range that classifies them as outlier (0 disables feature)
  --interpolation_type {cubic,linear}
                        Trajectory interpolation type
  --min_dt MIN_DT       temporal displacement of cubic spline control points
  --pose_error_type {type1,type2,type3,type4,type5,type6,none}
                        Covariance perturbation type (space) of relative pose measurements

Other tools:

  • RelPoseMeasEvaluation,
  • RelPose_ROSBag2CSV,
  • ROSBag_TrueRelPoses,
  • ROSBag_Poses2RelPoses,
  • ROSBag_ModifyRelPoses,
  • ROSBag_Pose2AbsPoses

License

Software License Agreement (GNU GPLv3 License), refer to the LICENSE file.

Sharing is caring! - Roland Jung

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A python3 package for evaluating relative pose measurements between two spatial frames.

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