Real-time multi-sensor fusion (Camera + Radar + GPS) that delivers precise localization and HD mapping for safe, efficient autonomous electric vehicle navigation.
JKCOM fuses multiple sensors in real-time to create accurate HD maps and robust localization - even in GPS-denied or harsh weather conditions.
Advanced semantic segmentation, lane detection, traffic sign recognition, and object detection using state-of-the-art models.
Doppler velocity measurement and point cloud processing for reliable detection in rain, fog, dust, and low-light conditions.
Real-time HD map generation and visual-radar fusion for centimeter-level localization, even without reliable GPS.
The JKCOM perception engine fuses camera and radar data in real-time. Below is a live visualization of the simulated stack processing object detection and centimeter-level localization.
Built for the next generation of autonomous electric mobility
Last-mile delivery fleets using electric vans benefit from accurate lane-level mapping and robust perception in dense city environments.
Safe passenger transport with real-time map updates and reliable localization in GPS-challenged areas like tunnels and urban canyons.
Fleet operators optimize routes with battery-aware planning and accurate positioning for charging station navigation.
Universities and startups accelerate autonomous EV development with modular, open-source mapping and perception tools.