Compare the Top Free Autonomous Driving Software as of December 2025

What is Free Autonomous Driving Software?

Autonomous driving software is the intelligence behind self-driving vehicles, enabling them to perceive their environment, make decisions, and control vehicle movements without human intervention. It integrates computer vision, machine learning, sensor fusion, and path planning to detect objects, interpret traffic conditions, and navigate safely. These systems rely on inputs from cameras, lidar, radar, GPS, and onboard sensors to ensure real-time situational awareness. The software also includes decision-making algorithms for acceleration, braking, steering, and responding to unexpected obstacles or road conditions. By combining perception, prediction, and control, autonomous driving software aims to deliver safer, more efficient, and fully automated mobility solutions. Compare and read user reviews of the best Free Autonomous Driving software currently available using the table below. This list is updated regularly.

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    openpilot

    openpilot

    comma.ai

    openpilot is open source software built to improve upon the existing driver assistance in most new cars on the road today. Tesla Autopilot like functionality for your Toyota, Honda, and other top brands. While engaged, openpilot includes camera based driver monitoring that works both day and night to alert the driver when their eyes are not on the road ahead.
    Starting Price: Free
  • 2
    RTMaps

    RTMaps

    Intempora

    RTMaps (Real-time multisensor applications) is a highly-optimized component-based development and execution middleware. Thanks to RTMaps, developers can design complex real-time systems and perception algorithms for their autonomous applications such as mobile robots, railway, defense but also ADAS and Highly automated driving. RTMaps is a versatile swiss-knife tool to develop and execute your application and offering multiple key benefits: ● Asynchronous data acquisition ● Optimized performance ● Synchronous recording and playback ● Comprehensive component libraries: over 600 I/O software components available ● Flexible algorithm development: Share and collaborate ● Multi-platform processing ● Cross-platform compatibility and scalable: from PC, Embedded targets, to the Cloud. ● Rapid prototyping and testing ● Integration with dSPACE tools ● Time and resource savings ● Limiting Development risks, errors and efforts. ● Certification ISO26262 ASIL-B: on demand
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