leveLXData - Real-World Scenario Data
Description: The highD dataset is a naturalistic vehicle trajectory dataset recorded on German highways, providing detailed information about the behavior and interactions of drivers in various traffic scenarios.
The highD dataset is a new dataset of naturalistic vehicle trajectories recorded on German highways. Using a drone, typical limitations of established traffic data collection methods such as occlusions are overcome by the aerial perspective. Traffic was recorded at six different locations and includes more than 110 500 vehicles. Each vehicle’s trajectory, including vehicle type, size and manoeuvres, is automatically extracted. Using state-of-the-art computer vision algorithms, the positioning error is typic
The highD dataset was created and published by a team from the Institute for Automotive Engineering (ika) of RWTH Aachen University to promote research in many different domains of mobility. The dataset can therefore be downloaded and used free of charge for academic and research purposes.
The dataset includes:
leveLXData - Real-World Scenario Data