AD4CHE

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AD4CHE: aerial (drone) trajectory dataset for congested Chinese highways & expressways — visualization and scenario analysis code

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# The Aerial Dataset for China's Highways and Expressways (AD4CHE)
In this project, the code for visualization and scenario analysis of the dataset are presented. The corresponding dataset can be downloaded via [ZYT (卓驭科技, formerly DJI Automotive)](https://www.zyt.com). The dataset focuses on congestion scenarios on chinese highways and expressways.

## Introduction
* The **ScenarioAnalysis** folder includes the code to extract cut-in scenarios, road markings, etc.
* The **Visualization** folder is utilized to visualize the trajectory data at each frame.

## Known issues
* The released `XX_recordingMeta.csv` uses a single `laneMarkings` column, while the visualization code in this repo follows the highD-style `UPPER_LANE_MARKINGS` / `LOWER_LANE_MARKINGS` convention (see issue #1). Until the code is updated, split the `laneMarkings` values into the two expected parameters (or adapt the meta-reading logic in `Visualization/main.py`).
* `http://auto.dji.com/cn` now redirects to `https://www.zyt.com` after the DJI Automotive → ZYT rebrand; the link above has been updated accordingly (see issue #2).

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