TY - DATA
T1 - The Obstacle Detection and Avoidance Dataset for Drones
PY - 2021/03/19
AU - Julien Dupeyroux
AU - Nikhil Wessendorp
AU - Raoul Dinaux
AU - Guido De Croon
UR - https://data.4tu.nl/articles/dataset/The_Obstacle_Detection_and_Avoidance_Dataset_for_Drones/14214236/1
DO - 10.4121/14214236.v1
KW - Unmanned Aerial Vehicle (UAV)
KW - Micro Air Vehicle, drone
KW - RGB camera
KW - event-based cameras
KW - neuromorphic sensors
KW - neuromorphic camera
KW - Radar sensor
KW - Robot operating system (ROS)
N2 - We introduce the Obstacle Detection and Avoidance Dataset for Drones, aiming at providing raw data obtained in a real indoor environment with sensors adapted for aerial robotics. Our micro air vehicle (MAV) is equipped with the following sensors: (i) an event-based camera, the dynamic performance of which make it optimized for drone applications; (ii) a standard RGB camera; (iii) a 24-GHz radar sensor to enhance multi-sensory solutions; and (iv) a 6-axes IMU. The ground truth position and attitude are provided by the OptiTrack motion capture system. The resulting dataset consists in more than 1350 samples obtained in four distinct conditions (one or two obstacles, full or dim light). It is intended for benchmarking algorithmic and neural solutions for obstacle detection and avoidance with UAVs, but also course estimation and therefore autonomous navigation. For further information, please visit: https://github.com/tudelft/ODA_Dataset <br>
ER -