QDrone Benchmark Datasets

The provided data packages covers various environments including indoor, outdoor filed, outdoor close to structures, and semi-enclosed areas. Several maneuvers have been done to make sure that different angles and distances between the UAV and sensor anchors are covered. The dataset is collected from 2018 to 2020. This resulted in over 7 hours of flight with collected UWB and IMU data along with total station as ground truth.

Indoor

Enviroment:Indoor
Location:Oshawa, Ontario, Canada
Area:26m(w)×33m(l)×10m(h)
Datasets:5

Field

Enviroment:Outdoor- field
Location:Soccer field, Uxbridge, Ontario, Canada
Area:12m(w)×13m(l)
Datasets:5

Building

Enviroment:Outdoor- Close to structures
Location:Building, Newmarket, Ontario, Canada
Area:7m(w)×7m(l)
Datasets:3

Bridge

Enviroment:Semi-enclosed area- Under a concrete-metal bridge
Location:Niagara, Ontario, Canada
Area:10m(w)×23m(l)×6m(h)
Datasets:4

Tunnel

Enviroment:Semi-enclosed area- Under a concrete tunnel
Location:Oshawa, Ontario, Canada
Area:8m(w)×30m(l)×3m(h)
Datasets:4

Ground Truth

Ground truth: We have collected and made available the ground truth annotations for specific portions of the datasets within each distinct environment for methodologies that necessitate access to ground truth data. With the use of real reference data, researchers and practitioners can use this vital source of ground truth information to improve the accuracy and dependability of their analytical methods. Format: With the exception of the addition of a row with XYZ data to each sensor, the format of the ground truth data is the same as previous files explained in the documentation section.

Indoor

Enviroment:Indoor
Datasets:3

Field

Enviroment:Outdoor- field
Datasets:3

Building

Enviroment:Outdoor- Close to structures
Datasets:2

Bridge

Enviroment:Semi-enclosed area- Under a concrete-metal bridge
Datasets:2

Tunnel

Enviroment:Semi-enclosed area- Under a concrete tunnel
Datasets:3