The recent growth of Unmanned Aerial Vehicles has brought them to a wide variety of industries, from construction to film production or emergency services. These vehicles still depend on some part of human intervention and can only operate comfortably in very wide and open spaces. This is mainly due to the limited surrounding awareness that the UAVs have as they are equipped with very simple sensing equipment. In this research work, this issue will be tackled. This project focuses on the use of a solid-state LIDAR sensor module to perform obstacle avoidance. The integration is done in a Hummingbird multirotor platform where a path following algorithm has already been tested. The objective will be to integrate the system into the existing platform and validated it in real flight conditions. The Hummingbird UAV at the end of the project will be capable of autonomously navigating while at the same time being capable of performing obstacle avoidance manoeuvres around non-planned and static objects.