JKCOM
AI-Powered HD Mapping for Autonomous EVs
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Jerry Nwobodo

JKCOM - AI-Powered HD Mapping for Autonomous EVs

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JKCOM is a high-performance, open-source perception and mapping stack designed for autonomous electric vehicles. It leverages visual semantic segmentation, radar Doppler processing, and centimeter-level localization to provide a robust foundation for autonomous mobility.

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Jerry Nwobodo
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JKCOM is my open-source project to make autonomous electric vehicles more accessible and affordable. While most AV stacks depend on costly LiDAR, JKCOM uses intelligent camera + radar fusion to deliver real-time HD mapping and robust localization even in rain, fog, tunnels, or urban canyons. It’s designed for real-world use: dynamic map updates, EV energy optimization, and easy integration with ROS 2 and simulators like CARLA. I’d love your honest feedback especially from those working in autonomous driving, sensor fusion, or EV tech. What features would you want to see next? Try it, star the repo, and let me know what you think!