Intelligent vehicles,
driven by edge AI

From advanced driver assistance to fully autonomous fleets, NeuralOS delivers real-time perception, sensor fusion, and vehicle orchestration on automotive-grade hardware — with ISO 26262 safety built in from the kernel up.

vehicle-control-01
$ neuraos fleet --status
✓ Kernel: PREEMPT_RT 6.12 LTS
✓ Perception: 360° fusion active
✓ Fleet: 10,000+ vehicles online
✓ Safety: ISO 26262 ASIL-D
✓ V2X: Cooperative mode enabled
All systems nominal — control loop <0.8ms
$ _

End-to-end perception pipeline from raw sensor data to actionable driving decisions. Real-time object detection, lane tracking, and path planning with ISO 26262 ASIL-D architecture for safety-critical vehicle control.

Multi-camera 360° perception with ONNX Runtime and OpenVINO via NPIE
Kalman-filtered sensor fusion across camera, LiDAR, radar, and IMU
Real-time trajectory optimization with dynamic obstacle avoidance

Centralized fleet orchestration with real-time telemetry, predictive maintenance, and over-the-air updates. Monitor thousands of vehicles simultaneously with sub-second latency and encrypted DDS communication.

OTA firmware delivery with rollback and A/B partition support
Predictive maintenance from engine and drivetrain telemetry data
Geo-fencing, route optimization, and driver behavior analytics

Run deep learning models directly on automotive-grade SoCs with deterministic PREEMPT_RT scheduling. Hardware-accelerated inference on NVIDIA Jetson, Qualcomm Snapdragon, and TI TDA4 platforms at under 5W.

NPIE v2.0.0 with LiteRT, ONNX Runtime, NCNN, and OpenVINO for multi-framework inference
Sub-millisecond scheduling with PREEMPT_RT Linux 6.12 LTS
Thermal-aware workload management for fanless ECU deployments

NeuralOS unifies perception, planning, communication, and actuation under a single real-time operating system. No middleware glue, no version mismatches — from ECU to cloud.

Deterministic <1ms control loops for safety-critical vehicle systems

Camera, LiDAR, radar, and IMU fused with Kalman filtering

Vehicle-to-everything and encrypted DDS for fleet coordination

A/B partition with rollback for zero-downtime fleet updates

From self-driving vehicles to connected fleet management, NeuralOS powers the next generation of intelligent mobility.

Deploy a full autonomous driving stack from perception to actuation. Multi-sensor fusion merges camera, LiDAR, and radar streams into a unified world model. Deterministic path planning and vehicle control run on PREEMPT_RT with guaranteed sub-millisecond latency.

360° object detection and tracking at 30+ FPS on Jetson Orin
ISO 26262 ASIL-D compliant redundant fail-safe architecture
V2X communication for cooperative intersection management
OTA model updates without interrupting driving operations

Orchestrate thousands of commercial vehicles from a single command plane. Real-time telemetry streams engine health, location, and driver behavior data through encrypted DDS channels. Predictive maintenance models run on-vehicle to flag issues before breakdowns.

Sub-second telemetry ingestion from 10,000+ active vehicles
Edge-native anomaly detection for engine and drivetrain faults
Geo-fenced compliance enforcement with automated alerting
Encrypted end-to-end communication with DDS Security

Enhance production vehicles with AI-powered safety features that run entirely at the edge. Lane departure warning, adaptive cruise control, automatic emergency braking, and driver drowsiness monitoring deploy as modular ncnn and MediaPipe pipelines.

Real-time lane marking detection with MediaPipe and OpenCV
Forward collision warning with automatic emergency braking
Driver monitoring via facial landmark analysis and eye tracking
Traffic sign recognition and speed limit enforcement

Power low-speed autonomous delivery vehicles and pods for urban and campus environments. Lightweight perception models run on cost-effective ARM SoCs. Sidewalk navigation, pedestrian avoidance, and package compartment control from a single NeuralOS instance.

LiDAR-based SLAM navigation in GPS-denied urban canyons
Pedestrian and cyclist detection optimized for low-speed scenarios
Remote fleet supervision with live camera feeds and teleoperation
Under 3W power envelope for solar-charged vehicle platforms

Talk to our automotive engineering team about ADAS, fleet intelligence, or autonomous driving deployments on NeuralOS.