In order to create trajectory data sets, we need to detect all road users precisely in the recorded video data and track their movements over time. In order to ensure the highest quality, we use high-resolution 4K video recordings and state-of-the-art computer vision algorithms. Using deep neural networks we can precisely detect and classify every road user in every frame of the recording.
There are many ways to record trajectory data. Each recording method has its own advantages and disadvantages. However, only with the help of a drone is it possible to achieve the highest recording quality without influencing the traffic. From a bird’s eye view, road users cannot occlude each other and every road user on an entire road section can be tracked with high accuracy. Due to the high flight altitude of the drone, road users are not aware of it and behave naturally.