DriveX is an open-source echosystem for automated driving and intelligent transportation system. Its key features can be summarized as:

• Ecosystem: DriveX aims at building an ecosystem where researchers and developers from both academia and industry and from different research communities can share data, algorithms, models, and simulation tools.
• Integrated research pipeline: DriveX provides an integrated research pipeline that facilitates the research needs of different stakeholders in automated driving and intelligent transportation.
• Modular design: DriveX follows a modular design, which not only includes the full-stack automated driving modules from perception, localization, planning, and control, to V2X communication, but also incorporates the capability of the scenario importing and generation for more scalable and generalizable real-world research.
• Benchmarks and model zoo: DriveX constructs several benchmarks based on real-world data and evaluates developed algorithms for different tasks of automated driving and intelligent transportation. A model zoo is maintained with the well-polished implementation of typical algorithms and models for each task. Public benchmark and model zoo will accelerate the development of new algorithms and measure the research progress in a transparent way.