The completely open-hardware, open-software architecture of the ecosystem allows users to adapt any of the existing hardware (including the vehicle as well as infrastructure modules) and/or software (including the devkit as well as simulator) to better fit their use-cases.
The ecosystem offers an all-in-one framework for developing, simulating and deploying autonomy algorithms targeted towards vehicles and environments across different scales, configurations and operational design domains (ODDs).
The ecosystem offers modular hardware components, a convenient high-fidelity simulator, and an extensive software development support, which enables the end-users to flexibly prototype and validate their autonomy solutions right out of the box.
The ecosystem hosts a tightly coupled trio, comprising AutoDRIVE Devkit (to flexibly develop connected autonomy algorithms), AutoDRIVE Simulator (to virtually prototype and stress-test them), and AutoDRIVE Testbed (to deploy and validate them in controlled real-world settings).
The ecosystem harnesses the true potential of digital twins to seamlessly move from reality to simulation (real2sim), and back to reality (sim2real). Explore a broad range of APIs and HMIs to observe and interact with these autonomy oriented digital twins.
Stay ahead of the curve by leveraging the ecosystem to engineer on-road as well as off-road autonomy algorithms using bleeding edge techniques for perception, localization, path planning, motion control, and artificial intelligence.
AutoDRIVE Ecosystem is completely open-source, promoting transparency and collaboration within the autonomous driving community. We encourage the global community of developers and researchers to consider supporting this massively open-source effort by contributing to this ecosystem and enhancing it.
Together, we can make autonomy accessible to everyone!