EDGE VISION AI · SOLUTION BRIEF

Advanced Autonomous Drone Solution

One Chip. From Perception to Propeller.

OneKiwi's Advanced Autonomous Drone Solution integrates edge AI perception, autonomous navigation, hard-real-time PX4 flight control, deterministic I/O and motor safety on a single Renesas RZ/V2H processor — replacing the AI companion computer, flight controller and deterministic motor-safety controller found in conventional split architectures.

1
Processor · 5 Domains
8-80
TOPS AI Performance
1,000 Hz
Rate Control
PX4+ROS2
Open Architecture
Why A Single-Chip Architecture

One processor instead of three boards

Multiple computing boards mean more weight, more power, more cabling and more parts to integrate and qualify. The RZ/V2H puts each role in its own hardware-isolated domain instead.

Conventional Split Architecture → OneKiwi RZ/V2H

AI companion computer Cortex-A55 cluster + DRP-AI3
PX4 flight controller Dedicated Cortex-R8 real-time core
I/O co-processor Second Cortex-R8 core
ESC & safety controller Dedicated Cortex-M33
Board-to-board control link On-chip shared-memory IPC
Multiple computing boards One integrated processing platform
Safety Principle

AI advises. PX4 authorizes. M33 enforces.

The Linux/AI domain never touches the ESCs directly — a perception error or application crash cannot bypass flight authority or the motor-safety gate.

01
AI proposes

Linux + AI analyze camera and navigation data, propose mission or trajectory actions.

02
PX4 validates

Checks flight mode, estimator health, geofence, pilot input and failsafe state.

03
M33 enforces

Verifies the command stream before generating physical PWM/DShot output.

Powered By

Heterogeneous computing on one processor

The RZ/V2H combines high-performance application processing, AI acceleration and real-time control domains on a single device.

RZ/V2H SINGLE CHIP 4× A55 · ROS 2 DRP-AI3 R8 · PX4 R8 · I/O M33 · MOTORS
4× Cortex-A55, up to 1.8 GHz Autonomous navigation, mission planning, VIO/SLAM, video and payload services — Yocto Linux + ROS 2
DRP-AI3 accelerator Object detection, tracking and vision inference — Renesas DRP-AI software stack
Cortex-R8 Core 0, up to 800 MHz PX4 flight management, estimation and control loops — NuttX + PX4
Cortex-R8 Core 1, up to 800 MHz Sensor I/O, CAN-FD, RC, battery and telemetry services — NuttX + PX4 I/O
Cortex-M33 PWM/DShot generation, watchdog, arming logic and motor cutoff — dedicated deterministic runtime

Integrated AI acceleration. 8 TOPS dense / up to 80 TOPS sparse AI performance, up to 10 TOPS/W efficiency, hardware-accelerated computer vision without a discrete GPU — supporting object detection, tracking, segmentation and visual inspection workloads. Passive thermal implementation depends on the final enclosure, workload and aircraft operating environment.

Hard Real-Time

Flight control that never waits on Linux

PX4 flight-control workloads run on dedicated Cortex-R8 cores, physically separated from Linux and AI processing that can create variable CPU and memory load.

Rate control 1,000 Hz
Attitude control 500 Hz
Position control 250 Hz
Actuator-setpoint transfer 400 Hz, CRC32-protected
Vehicle-state publication to A55 100 Hz
IMU sampling Up to 2 kHz
Digital Motor Control

Built for advanced airframes

The Cortex-M33 safety domain supports deterministic PWM and bidirectional DShot generation for 4–8 ESC channels. Supported airframe classes include quadcopter, hexacopter, X6 coaxial hexacopter, octocopter and custom multirotor configurations. Bidirectional DShot provides digital checksum-protected motor commands, no analog throttle calibration, ESC telemetry and RPM feedback, and dynamic RPM-based notch filtering for improved vibration suppression.

Redundancy-Ready

Four layers, validated at the system level

A single MPU remains a common physical point of failure — redundancy comes from the validated system: sensors, navigation sources, links and airframe.

Sensor

Primary and backup IMUs, GNSS, barometer, magnetometer, VIO or optical-flow positioning.

Navigation

Estimator-health-based source selection — not simply the presence or absence of GNSS.

Communication

Primary and secondary telemetry paths; link degradation is reported to PX4 but cannot bypass flight authority.

Airframe

X6 hexacopter reference — motor-out fault tolerance not achievable with a standard quadcopter.

Advanced Perception & Autonomous Navigation

Mission intelligence without disturbing flight control

The A55 and DRP-AI3 domain executes perception and mission workloads — object detection and tracking, segmentation and inspection, mission planning, VIO/SLAM, optical-flow navigation, GNSS-denied positioning, AI-assisted gimbal framing, video encoding and evidence recording — without disturbing the real-time flight-control loops.

The solution supports visible-light, EO/IR and compatible three-axis gimbal payloads through MAVLink Gimbal Protocol v2. Command priority is strictly separated: safety and failsafe functions first, then pilot or ground-control command, then active mission policy, then AI tracking proposal.

Authority boundary. AI results remain advisory. PX4 retains authority over navigation mode, command acceptance and failsafe selection.

Target Applications

Where one-chip autonomy pays off

Industrial Inspection

Power and utility assets, solar panels, oil and gas facilities, industrial plants, bridges, construction monitoring.

GNSS-Denied Operations

Warehouses, factories, tunnels, underground facilities, indoor asset inspection, weak-GNSS infrastructure.

Delivery & Logistics

Last-mile delivery, industrial material transport, medical and emergency delivery, visual delivery confirmation.

Public Safety & Mapping

Search and rescue, emergency assessment, fire and disaster monitoring, security patrol, surveying and 3D mapping.

Claims boundary. Publish as “fault-contained, fail-safe and redundancy-ready” — never as an unqualified “failure-redundant single chip.” A single MPU is still a common physical point of failure; aircraft-level redundancy requires validated sensor, power, navigation, communication and airframe redundancy on top, followed by system-level validation.

Documentation & Downloads

Build Your Next Autonomous Aircraft on One Integrated Platform

Reduce compute-system weight, power consumption and integration complexity while combining edge AI with deterministic flight control and an independently protected motor-output path.

Contact OneKiwi