In-flight Positional and Energy-Use Dataset of Package-Delivery Quadcopter UAVs
An empirical UAV energy-use dataset collected by CMU AirLab to measure how small electric delivery drones consume power under varied operating conditions. A DJI Matrice 100 (M100) quadcopter was autonomously flown on a triangular take-off/cruise/land pattern while sweeping payload (0 g, 250 g, 500 g), cruise altitude (25, 50, 75, 100 m), and cruise speed (4, 6, 8, 10, 12 m/s). The dataset contains 209 flights (195 parameter-varied plus 14 ancillary power/hover recordings), totaling 10 hours 45 minutes of flight over roughly 65 km, gathered between April and October 2019. The aircraft carried GPS (LORD MicroStrain 3DM-GX5-45 GNSS/INS), an IMU, a Mauch PL-200 voltage/current sensor, and an FT Technologies FT-205 ultrasonic anemometer, capturing inertial state, wind speed/direction, and power consumption. Data are provided as CSV files with fields including flight ID, programmed speed, payload mass, altitude, timestamp, wind speed/direction, battery voltage/current, position (lat/lon/alt), orientation (quaternion), velocity, angular rates, and linear acceleration. The data are intended to help improve UAV design, safety, and energy efficiency. Hosted on CMU's KiltHub (figshare) repository under CC BY 4.0; processing code is available on Bitbucket (castacks/DOE) under a BSD license. Funded by the U.S. DOE Vehicle Technologies Office (Award DE-EE0008463).
- Scale
- 10.75 hours
- Formats
- custom
- License
- CC-BY-4.0
- Published
- 2021-03-24
Decision summary
passive_log
Metadata requires review against the official source before publication.
Read the dataset manifest and feature schema.
Catalog assessment
Selection evidence
70/100
Provisional · confidence 35 · 2/6 evaluated
Access and governance
Access and license are declared by the source.
Schema and signal coverage
No machine-readable schema has been verified yet.
Policy training readiness
Observation/action alignment has not been established.
View 3 more dimensions
World-model readiness
World-model observation, geometry, or temporal semantics are not verified.
Failure and recovery readiness
No verified failure/recovery annotation evidence is available yet.
Download and processing readiness
Scale is declared; transfer and processing estimates are not measured.
Review unresolved evidence and next checks
Signal gaps
- Observation / ego video. Not enough evidence is available to classify this signal.
- Gaze / attention. Not enough evidence is available to classify this signal.
- Language intent / task phase. Not enough evidence is available to classify this signal.
- Feedback / correction / failure. Not enough evidence is available to classify this signal.
Next checks
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Record specifics
Dataset facts
- Source
- CMU AirLab
- Evidence
- secondary claim
- Formats
- custom
- episodes
- 209
- hours
- 10.75
Metadata coverage
Loop signals
3/7 present or partial
No decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownView 4 more signal categories
An empirical UAV energy-use dataset collected by CMU AirLab to measure how small electric delivery drones consume power under varied operating conditions. A DJI Matrice 100 (M100) quadcopter was autonomously flown on a triangular take-off/cruise/land pattern while sweeping payload (0 g, 250 g, 500 g), cruise altitude (25, 50, 75, 100 m), and cruise speed (4, 6, 8, 10, 12 m/s). The dataset contains 209 flights (195 parameter-varied plus 14 ancillary power/hover recordings), totaling 10 hours 45 minutes of flight over roughly 65 km, gathered between April and October 2019. The aircraft carried GPS (LORD MicroStrain 3DM-GX5-45 GNSS/INS), an IMU, a Mauch PL-200 voltage/current sensor, and an FT Technologies FT-205 ultrasonic anemometer, capturing inertial state, wind speed/direction, and power consumption. Data are provided as CSV files with fields including flight ID, programmed speed, payload mass, altitude, timestamp, wind speed/direction, battery voltage/current, position (lat/lon/alt), orientation (quaternion), velocity, angular rates, and linear acceleration. The data are intended to help improve UAV design, safety, and energy efficiency. Hosted on CMU's KiltHub (figshare) repository under CC BY 4.0; processing code is available on Bitbucket (castacks/DOE) under a BSD license. Funded by the U.S. DOE Vehicle Technologies Office (Award DE-EE0008463).
partialNo decision-grade evidence captured yet.
unknownAn empirical UAV energy-use dataset collected by CMU AirLab to measure how small electric delivery drones consume power under varied operating conditions. A DJI Matrice 100 (M100) quadcopter was autonomously flown on a triangular take-off/cruise/land pattern while sweeping payload (0 g, 250 g, 500 g), cruise altitude (25, 50, 75, 100 m), and cruise speed (4, 6, 8, 10, 12 m/s). The dataset contains 209 flights (195 parameter-varied plus 14 ancillary power/hover recordings), totaling 10 hours 45 minutes of flight over roughly 65 km, gathered between April and October 2019. The aircraft carried GPS (LORD MicroStrain 3DM-GX5-45 GNSS/INS), an IMU, a Mauch PL-200 voltage/current sensor, and an FT Technologies FT-205 ultrasonic anemometer, capturing inertial state, wind speed/direction, and power consumption. Data are provided as CSV files with fields including flight ID, programmed speed, payload mass, altitude, timestamp, wind speed/direction, battery voltage/current, position (lat/lon/alt), orientation (quaternion), velocity, angular rates, and linear acceleration. The data are intended to help improve UAV design, safety, and energy efficiency. Hosted on CMU's KiltHub (figshare) repository under CC BY 4.0; processing code is available on Bitbucket (castacks/DOE) under a BSD license. Funded by the U.S. DOE Vehicle Technologies Office (Award DE-EE0008463).
presentOpen · CC-BY-4.0 · custom
presentEvidence details and provenance
Official signal claims
Schema and annotations
No machine-readable schema facts are captured.
Sample verification
Pending. Metadata does not prove sample coverage, alignment, or file integrity.
curated official source
Integration notes
- Metadata requires review against the official source before publication.
Catalog links