Self-­Supervised Learning for Visual Obstacle Avoidance

With a growing number of drones, the risk of collision with other air traffic or fixed obstacles increases. New safety measures are required to keep the operation of Unmanned Aerial Vehicles (UAVs) safe. One of these measures is the use of a Collision Avoidance System (CAS), a system that helps the drone autonomously detect and avoid obstacles....

A design-based vision on future roles in engineering

In this paper, we present a vision on how engineers can play different roles in future society 2030. First we predicted how society in the Netherlands (in relation to Europe and the rest of the world) is going to develop and how future engineers will behave, act and take their position in this future world. We used the ‘Vision in Design’...

Low-memory Visual Route Following for Micro Aerial Vehicles in Indoor Environments

This thesis presents a visual route following method that minimizes memory consumption to the point that even Micro Aerial Vehicles (MAV) equipped with only a simple microcontroller can traverse distances of a few hundred meters. Existing Simultaneous Localization and Mapping (SLAM) algorithms are too complex for use on a microcontroller....