DeepAI AI Chat
Log In Sign Up

AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance

by   İlker Bozcan, et al.
Aarhus Universitet

Unmanned aerial vehicles (UAVs) with mounted cameras have the advantage of capturing aerial (bird-view) images. The availability of aerial visual data and the recent advances in object detection algorithms led the computer vision community to focus on object detection tasks on aerial images. As a result of this, several aerial datasets have been introduced, including visual data with object annotations. UAVs are used solely as flying-cameras in these datasets, discarding different data types regarding the flight (e.g., time, location, internal sensors). In this work, we propose a multi-purpose aerial dataset (AU-AIR) that has multi-modal sensor data (i.e., visual, time, location, altitude, IMU, velocity) collected in real-world outdoor environments. The AU-AIR dataset includes meta-data for extracted frames (i.e., bounding box annotations for traffic-related object category) from recorded RGB videos. Moreover, we emphasize the differences between natural and aerial images in the context of object detection task. For this end, we train and test mobile object detectors (including YOLOv3-Tiny and MobileNetv2-SSDLite) on the AU-AIR dataset, which are applicable for real-time object detection using on-board computers with UAVs. Since our dataset has diversity in recorded data types, it contributes to filling the gap between computer vision and robotics. The dataset is available at


page 1

page 3

page 5


HIT-UAV: A High-altitude Infrared Thermal Dataset for Unmanned Aerial Vehicles

This paper presents a High-altitude infrared thermal dataset, HIT-UAV, f...

The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking

With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are...

Leveraging domain labels for object detection from UAVs

Object detection from Unmanned Aerial Vehicles (UAVs) is of great import...

Light Weight Character and Shape Recognition for Autonomous Drones

There has been an extensive use of Unmanned Aerial Vehicles in search an...

SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water

Unmanned Aerial Vehicles (UAVs) are known for their fast and versatile a...

Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles

The availability of real-world data is a key element for novel developme...