Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision
avoidance systems (CAS). A lot of work is being done to make the CAS as safe and reliable …

Electrification turned over a new leaf in aviation by introducing new types of aerial vehicles
along with new means of transportation. Addressing a plethora of use cases, drones are …

Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are develo** software and hardware for …

Quadrotors are agile. Unlike most other machines, they can traverse extremely complex
environments at high speeds. To date, only expert human pilots have been able to fully …

Today's autonomous drones have reaction times of tens of milliseconds, which is not
enough for navigating fast in complex dynamic environments. To safely avoid fast moving …

Reliable detection and tracking of surrounding objects are indispensable for comprehensive
motion prediction and planning of autonomous vehicles. Due to the limitations of individual …

This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

Event-based vision sensors achieve up to three orders of magnitude better speed vs. power
consumption trade off in high-speed control of UAVs compared to conventional image …

For intelligent quadcopter UAVs, a robust and reliable autonomous planning system is
crucial. Most current trajectory planning methods for UAVs are suitable for static …