Software-Defined Radar Perception Technology

Deep Fusion AI wins global acclaim with its advanced software-defined radar
perception technology at CES 2026

[INQ. NO. 2601E11] Deep Fusion AI received the Best of Innovation Award at CES 2026 for its originality and technological prowess in the software-defined perception system field with its real-time attention-based pillar architecture (RAPA).
RAPA is a software-defined perception system that utilizes multiple 4D imaging radars to achieve 360-degree real-time environmental awareness. This technology leverages an attention-based deep-learning model and a proprietary dataset specialized for radar signals to achieve high-precision object-detection and tracking.
Notably, RAPA delivers detection accuracy over 40% higher than competing solutions based on public benchmarks, and its efficiency on edge-embedded platforms is a key strength.
Based on its RAPA technology, Deep Fusion AI is expanding its business beyond automotive to various other industries such as defense, marine, and robotics. According to the company, a global mobility company is going to mass-produce autonomous robot taxi vehicles with RAPA technology in October 2026.
In Korea, Deep Fusion AI has integrated RAPA technology into its unmanned surface vehicle (USV) deployment project in collaboration with a defense industry partner. Furthermore, the company is developing unmanned combat ships and ground unmanned systems utilizing RAPA-based perception technology.

A company spokesperson explained, “Our winning the Best of Innovation Award at CES 2026 demonstrates that the software-defined radar technology developed by our team can significantly improve safety and reliability in the autonomous-driving and robotics industries. We are very proud to be recognized for our technology on the global stage, and we will continue to expand the scope of our technology by collaborating with partners across various industries.”
Deep Fusion AI is a deep-tech startup that has developed a 4D imaging radar perception system based on software-defined sensor fusion technology. It has implemented human-level of high-precision, real-time perception in various fields such as autonomous driving, defense, maritime affairs, and robotics, and has thus shown that it can deliver proven stable perception performance even in harsh environments. 
 
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