Skip to content
@thinking-cars

thinking-cars

Thinking Cars GmbH — Qualifying the Future of Open-Source Automated Driving

Website Contact LinkedIn

Open. Transparent. Qualified.

We build the benchmark for transparent, trustworthy, and sovereign AD software. Making open-source driving stacks easier to evaluate, easier to trust, and easier to integrate.


🎯 What We Do

Open-source automated driving stacks are powerful, but without transparent benchmarking and qualification, industrial adoption remains slow and risky. We close that gap. Not with black-box claims, but with transparent benchmarks run on your data, structured qualification documentation, and evidence that holds up where it counts.

100 % Transparent & Open-Source Every evaluation process is fully documented and reproducible
🔓 0 % Vendor Lock-In Built on open ecosystems
♾️ Unlimited Integration Possibilities Modular approach supports any target stack or application

🛠️ Our Services

🔍 Discover

We identify the right open-source components for your target application and compliance requirements, and map them against your existing stack.

📊 Evaluate — Prototype Available

Automated evaluation and testing for open-source AD components. Transparent, reproducible metrics and report generation. Running on your data for your auditable evidence.

📋 Qualify — Coming Soon

Structured qualification documentation aligned with relevant standards. Ready for internal sign-off or external regulatory audit.

🔧 Integration & Long-Term Support — Coming Soon

Expert consulting to help OEM and autonomy teams select, adopt, and integrate open-source AD software into real delivery pipelines.


📦 Key Repositories

🏎️ Benchmarking (thinking-cars)

Repository Description Teaser Release
autonomy_datasets Unified ROS 2 Interface for automated driving datasets.
autonomy_benchmarks Autonomy.Benchmarks enables the Automated Driving community to easily benchmark their automated driving building blocks across different tasks and datasets.
autonomy_bot Easily benchmark automated driving modules and full AD stacks as part of your CI/CD workflow. 🚧 Under Construction

🧩 OpenADS — Open Automated Driving Systems (openads-project)

Thinking Cars is an active contributor and maintainer in the OpenADS community — an ecosystem for building and benchmarking interoperable AD software. Developed as part of Germany's Ecosystem Mobility 4.0 initiative and aligned with the European Connected and Autonomous Vehicle Alliance.

Repository Description Release
OpenADS Open Automated Driving Systems Ecosystem, including automated driving software stack, simulation and development toolchain.
OpenADStack Baseline reference implementation for modular ROS 2 automated-driving stacks in OpenADS.
OpenADSim Simulation environment for testing the OpenADStack with CARLA or SUMO.
OpenADSuite Development tools that streamline developer workflows, such as module templates and ready-to-use development environments.
OpenADSafety 🚧 Documentation and tools for validation and verification of automated-driving modules and full stacks.

OpenADS Module Integrations

Repository Description Teaser Release
autoware_lidar_centerpoint Modularized 3D lidar detection model from Autoware Universe.
autoware_multi_object_tracker Modularized 3D multi-object tracker from Autoware Universe.
focalformer3d_detector ROS 2 integration of the NVlabs/FocalFormer3D lidar object detection model.

🎓 Research & Events

Event Description Status
IEEE ITSC 2026 Tutorial OpenADS tutorial at IEEE International Conference on Intelligent Transportation Systems, Naples, Italy ✅ Active

Pinned Loading

  1. autonomy_datasets autonomy_datasets Public

    Unified ROS 2 Interface for automated driving datasets

    Python 3 1

  2. autonomy_benchmarks autonomy_benchmarks Public

    Benchmarking Automated Driving Systems across different tasks and datasets

    Python 2

Repositories

Showing 7 of 7 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…