Open Source BSD Autonomous Driving Software

Autonomous Driving Software for BSD

Browse free open source Autonomous Driving software and projects for BSD below. Use the toggles on the left to filter open source Autonomous Driving software by OS, license, language, programming language, and project status.

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  • 1
    sunnypilot

    sunnypilot

    Open source driver assistance system

    sunnypilot is an open-source driver-assistance system derived from comma.ai’s openpilot and designed primarily for comma 3 and 3X hardware. It supports hundreds of vehicle makes and models while modifying how steering, acceleration, braking, and cruise assistance behave. Its Modular Assistive Driving System provides more flexible engagement behavior than the upstream project. Neural-network lateral control, automatic lane changes, and configurable driving models expand steering customization. Smart cruise functions can use vehicle, vision, and offline OpenStreetMap data for speed-related assistance. Display customization, quiet mode, connected services, and remote device features extend the everyday driving experience. The project aims to preserve openpilot safety constraints while offering substantially more configuration.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Alpamayo 2 Super

    Alpamayo 2 Super

    Open VLA model for autonomous driving reasoning and planning

    Alpamayo2-Super is NVIDIA’s flagship open reasoning Vision-Language-Action (VLA) model for autonomous vehicle development, designed to accelerate Level 4 robotaxi and autonomous driving systems. Built on the NVIDIA Cosmos platform, it enables vehicles to perceive, reason, plan, and generate driving actions using human-like decision making rather than relying solely on predefined rules. The model processes multi-camera video, navigation signals, and driving context to produce driving trajectories alongside interpretable Chain-of-Causation reasoning, improving transparency for validation and safety analysis. Alpamayo2-Super is part of the broader NVIDIA Alpamayo ecosystem, which also includes simulation frameworks, reinforcement learning infrastructure, datasets, and physical AI tools for end-to-end autonomous vehicle development. It integrates with AlpaGym for closed-loop reinforcement learning and Cosmos-Dreams for large-scale driving simulation, allowing developers to train, evaluate,
    Downloads: 1 This Week
    Last Update:
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  • 3
    The unmanned autonomous vehicle is one step before the flying car. We propose a radically new approach which builds on the decades of research in Artificial Intelligence that is designed for a car from the ground up.
    Downloads: 0 This Week
    Last Update:
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