DeepFusion AI
DeepFusion AI is a perceptive sensor fusion system company that integrates and systemizes 4D imaging radar, cameras, and LiDAR from a deep learning perspective, providing them to various industries.
# AI Sensor fusion system # 4D radar # AI


Company Info.
Sunghun Yu ㅣ CEO
301B, 3F, Test Production Bldg, 7-50 Songdo-dong, Yeonsu-gu, Incheon
+82-70-4119-4410
Contact Info.
Sunghun Yu ㅣ Chief Executive Officer
+82-10-6283-2948
Company Info.
Bongho Lee ㅣ CEO
INSTAR2, 204 Convensia-daero, Yeonsu-gu, Incheon, 22004
+82-1855-1317
Contact Info.
Bongho Lee ㅣ CEO
+82-10-9669-2053
Company Profile
DeepFusion AI is a perceptive sensor fusion system company that integrates 4D imaging radar, cameras, and LiDAR using advanced deep learning technology, providing solutions to various industries.
Efficient sensor fusion of optical and radio-frequency sensors has always been emphasized in autonomous driving perception. While deep learning for optical sensors (cameras, LiDAR) is becoming widespread, deep learning for radio-frequency sensors (4D imaging radar, X-band radar) remains limited due to the lack of a standardized dataset.
To solve this, we developed a virtual 4D imaging radar environment to build a pre-trained model. This model achieved accuracy comparable to LiDAR and has been successfully deployed in actual vehicles.
We fine-tuned the pre-trained model by capturing additional datasets from 4D imaging radars installed on actual vehicles, creating a 4D imaging radar deep learning model. We have completed and announced the world's only commercialized model, demonstrating accuracy over 40% higher than competitors.
We are leveraging this technology to apply it to robot taxis, unmanned surface vehicles (USVs), and unmanned ground vehicles (UGVs), establishing it as a core perception sensor fusion system.
Company Competitiveness
DeepFusion AI's proprietary deep learning model, RAPA, is a software-defined 360-degree perception system powered solely by multi-4D imaging radar.
It learns radar signal characteristics and applies optimized filtering to perform real-time, high-precision object detection and tracking using an attention-based deep learning model. It can be applied to a variety of fields, including autonomous vehicles, robotaxis, and unmanned surface vehicles (USVs).
To address the sparsity and noise issues of 4D imaging radar point clouds, RAPA applies filtering based on a precise analysis of radar-specific propagation characteristics. This refined data is then transformed into a filter structure and efficiently processed using an attention-based, lightweight deep learning model optimized for embedded devices, achieving accuracy over 40% higher than competing solutions in public benchmarks. Furthermore, its hardware-independent design ensures compatibility with radars from various manufacturers and delivers real-time, scalable perception performance.
Key Product
RAPA System
RAPA-R : Radar only real-time surrounding perception model based system
RAPA-RC : Radar + Camera early fusion model based system
RAPA-RL : LiDAR + Camera early fusion model based system

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Company History
2025
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AUG I Defense Tier-1 Unmanned warship System
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JUN I Series A Round Open (Pre Value: 147 mil USD)
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APR I The Great Gap DIPs 1000+ (Marine sector) World Korean Business Convention Award
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MAR I Defense Tier-1 Launching and recovery shorage USV System
2024
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DEC I TIPS Program Unmanned short-range USV with Defense Tier-1
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NOV I Automotive tier-1 4D DL PoC
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OCT I Seed Investment (Post Value: 6mil USD)
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SEP I Dadeok Tech Startup Awards
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MAR I Chinese OEM PoC
2023
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DEC I Venture Camp Excellence Awards
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NOV I Developed Proprietary Perceptive Sensor Fusion DL Model
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AUG I Contract for 4D image radar application developing with China radar Tier 1
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FEB I Contract for 4D image radar validation method developing with Europe Tier 1
2022
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JUN I Contract for 4D image radar profile developing with Europe Tier 1
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FEB I Contract for Sensor Fusion developing between 3D radar and camera base on vision perception with Korea autonomous driving solution company