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One Engine,Five Solutions.

Deep Fusion AI's perception technology guarantees ultimate cognitive performance through 4D imaging radar-centric Sensor Fusion technology, even in challenging environments where conventional sensors fail—such as harsh weather, low-light conditions, and unstructured rough terrains.

We deliver tailored solutions optimized for the operational purposes of each field, ranging from automotive autonomous driving to unmanned surface vehicles (USVs), unmanned ground vehicles (UGVs), wave detection (Waves), and industrial autonomous mobile robots (AMRs).

Solution / 01

Automotive

Radar-Centric Automotive Perception for Safer Road Environments

DeepFusion AI's Automotive solution fuses diverse sensor data, centering on 4D imaging radar alongside cameras and LiDAR, to reliably perceive objects and spaces around the vehicle. By combining the strengths of each sensor and adjusting the influence of low-confidence data in extreme conditions, it supports continuous object detection and tracking in all weather and lighting environments.

Key Features

  • 3D Object Perception

    Accurately perceives various 3D objects including vehicles, pedestrians, and two-wheelers.

  • Real-Time Trajectory Tracking

    Tracks precise target position, velocity, and moving directions in real-time.

  • Sensor Fusion & Confidence Correction

    Fuses radar, camera, and LiDAR, and dynamically adjusts sensor confidence in harsh weather, tunnels, and low light.

  • Surrounding Environment Analysis

    Provides multi-dimensional analysis of drivable spaces and complex road boundaries.

  • Edge Computing Optimization

    Optimized for vehicle onboard edge AI computing units, enabling low-latency integration with ADAS systems.

Public Road Driving Verification Gallery

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Solution / 02

USV

All-Weather Marine Perception for Unmanned Surface Vehicles

DeepFusion AI's USV perception solution detects and continuously tracks moving objects and marine obstacles around vessels using 4D imaging radar and AI-based signal analysis. By identifying ships, buoys, and floating debris that impact navigation safety, it provides critical perception inputs required for path planning and collision avoidance systems.

Key Features

  • Marine Small Object Detection

    Detects vessels of various sizes and small floating debris to guarantee navigation safety.

  • Dynamic Target Tracking

    Continuously tracks real-time positions, velocities, and directions of moving targets.

  • Sea Clutter Mitigation

    Suppresses sea clutter and water reflections caused by strong waves and rainstorms to maximize reliability.

  • Multi-Sensor Fusion

    Combines radar and camera sensor inputs to achieve comprehensive situational awareness.

  • System Integration & Model Tuning

    Provides interfaces for autonomous navigation systems and optimizes models tailored for maritime climates.

Application Field & Verification Gallery

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Solution / 03

UGV

Robust Unmanned Ground Vehicle Perception in Unstructured Rough Terrains

DeepFusion AI's UGV perception solution recognizes the surrounding situation of the vehicle in various land environments such as unpaved roads, bushes, mud, and slopes through 4D imaging radar-based spatial recognition and object tracking. By delivering detected obstacles and terrain information to the autonomous driving and path planning systems, it supports unmanned ground vehicles to maneuver stably even in complex unstructured environments.

Key Features

  • Rough Terrain & Unstructured Obstacle Detection

    Detects obstacles and drivable paths even in off-road, bush, and muddy environments without lane markings.

  • Moving Object Position & Status Tracking

    Tracks precise target position, velocity, and moving status of dynamic targets.

  • Slope & Step Recognition

    Recognizes slopes, steps, and terrain roughness in real-time to assess vehicle operation limits.

  • Dust & Low-Light Performance

    Maintains clear detection behind bushes, in dense dust/sandstorms, and in complete darkness using 4D radar signal penetration.

  • 3D Space Map & Path Planning Integration

    Generates 3D grid spatial maps ahead of the vehicle to feed into autonomous steering and navigation planners.

Off-Road Autonomous Maneuver Verification Gallery

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Solution / 04

Waves

Real-Time Surface Analysis for Forward Wave Perception

DeepFusion AI's Waves solution analyzes water surface reflection data collected by radar using AI to detect wave shapes and movements. By providing analyzed wave information to autonomous navigation or pilot assistance systems, it supports safer navigation decisions such as deceleration, route adjustment, and attitude control.

Key Features

  • Forward Surface & Wave Detection

    Identifies water surface state and approaching waves early within 100m in front of the vessel.

  • Wave Height & Direction Analysis

    Analyzes wave height, velocity, and incoming direction in real-time, outputting calculations 10+ times per second.

  • All-Weather Operations

    Guarantees 90%+ measurement accuracy under heavy rain, typhoons, and thick night fog.

  • Risk Assessment Data Provision

    Provides critical danger indexes regarding exceptional waves to trigger auto-steering or speed reductions.

  • Control System Integration

    Fully integrates with autonomous marine computers and vessel motion stabilizers.

Wave Verification Measurement Data Gallery

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Solution / 05

AMR

Autonomous Mobile Robot Perception & Localization for Industrial Sites

DeepFusion AI's AMR solution recognizes dynamic objects and fixed structures around robots in indoor and outdoor industrial environments through 4D imaging radar-based object perception and localization technology. By integrating perception results with the robot's mapping, localization, path planning, and collision prevention systems, it supports autonomous mobile robots to operate stably in complex industrial environments.

Key Features

  • Worker, Forklift & Equipment Detection

    Detects moving operators, forklifts, and equipment around warehouses and assembly lines without blind spots.

  • Dynamic Object Path Tracking

    Traces moving obstacles and projects their trajectory 360° to preemptively prevent collisions.

  • Radar-Based SLAM

    Maintains precise localization using radar signal traits even where lidar or optical cameras fail.

  • Real-Time Mapping & Updates

    Dynamically constructs and updates 3D maps in warehouses where cargo layouts shift constantly.

  • Harsh Environment Mitigation

    Bypasses challenges from dense smoke, dust, and lighting fluctuations to feed data directly to path planning and safety logic.

Single Core Engine

One Sensor Fusion Engine,
Five Scalable Domains

DeepFusion AI's algorithm core is hardware-agnostic and domain-agnostic.
Heavy-noise filtering models scale seamlessly from maritime USVs to off-road UGVs, highway autonomous driving, wave detection, and industrial AMR perception.
We deliver optimal radio-wave intelligence tailored to diverse fields with minimal hardware modification.

Proven Success

Proven Track Record

  • Ministry Innovation Designation

    Official certificate as an Innovative Product for wave detection

  • Military Active Deployments

    Maneuver and operational tests verified on unmanned land combat vehicles

  • Global OEM Collaborations

    Evaluation testing underway for ADAS fusion ECU delivery to global autonomous driving developers