piandpower / radiationuav

Next generation radiation mapping using UAS assisted dynamic monitoring networks

radiation Mapping UAV

Next generation radiation mapping using UAS assisted dynamic monitoring networks

[Sensors] (https://github.com/plusangel/radiationUAV/tree/master/sensors)

Survey about the properties and utilisation of a range of proximity sensors

• Ultrasonic Devantech SRF02
• Laser sensor PulsedLight LIDAR-lite
• Infra red Sharp GP2Y0A02YK0F
• Optical flow sensor px4flow smart camera
• Mapping and proximity application based on the laser sensor

[Human Robot Interaction] (https://github.com/plusangel/radiationUAV/tree/master/humanRobotInteraction)

Development of iOS apps to improve human robot interaction and radiation mapping

• iRadiation app (radiation mapping application)
• iOS_ROS (control a ROS-enabled UAV)

[Simulation] (https://github.com/plusangel/radiationUAV/tree/master/simulation)

Development of an assisted teleoperation fligh mode using ROS, gazebo and hector quad-rotor UAV simulator.

[Real UAV] (https://github.com/plusangel/radiationUAV/tree/master/realUAV)

Real UAV obstacle avoidance behaviour by implementing two approaches.

[Documentation] (https://github.com/plusangel/radiationUAV/tree/master/documentation)

Documents (pdf) related with the activities and development of this project.

[Videos] (https://www.youtube.com/user/rebelCatDevelopment)

Videos related with the project's experiments can be found in: goo.gl/JyTzGp

Author & Developer

Angelos Plastropoulos

Supervisor

Dr Thomas B. Scott

Credits

This project has been developed with the support of the following organizations:

• Interface Analysis Centre (IAC) at Bristol University
• Bristol Robotics Lab (BRL) at University of West England (UWE)