Neura Parse

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
$ _
Automated automotive manufacturing line with industrial robots

Automotive deployments connect ADAS operations, OTA campaigns, fleet telemetry, and production automation into one governed workflow.

Fleet orchestration
OTA workflows
ADAS edge AI
Live model
1

PLC

OPC UA

2

ROS2

<1ms loops

3

Edge AI

Fleet orchestration

4

MES

OPC UA

Signal

OPC UA

Signal

<1ms loops

Signal

Fleet orchestration

Click any layer to see the components, the bus / sensor protocols, and the safety posture from the ADAS controller all the way up to the fleet ops console.

6 layers

Mixed-criticality cgroups, A/B partition OTA, and ASIL-aware service isolation — same image across L2+ ADAS controllers, L4 stacks, and fleet gateways.

Fleet dispatch, OTA campaign management, telematics intake, exception triage — operations workflows that span thousands of vehicles and survive single-vehicle drop-out.

Fleet dispatch + routing
OTA campaign management
Telematics + incident triage
Charge / depot scheduling
1 / 6

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.

5 / 5

Lane-keep, ACC, AEB, blind-spot, traffic-sign recognition. Perception loop runs on a single accelerator with deterministic <50 ms reaction time.

SAE L2+< 50 ms8× camera + radar + USSSnapdragon Ride / Drive OrinISO 26262 ASIL-B/D · UNECE R157

Geofenced L4 service. Full LiDAR + camera + radar fusion, planner with hard constraint encoding, redundant compute and remote-supervisor handover.

SAE L4 (ODD-bound)< 100 ms perception → planLiDAR + 11× camera + radar + IMUDrive Thor / dual-AGX redundantISO 26262 + ISO 21448 + UNECE R157

Telematics, predictive maintenance, route optimisation across 100s of vehicles. NowFlow handles dispatch, OTA, and incident triage.

MixedSoft real-time (seconds)OBD-II + GNSS + driver-monitoringIndustrial PC + cellular gatewayGDPR · driver privacy by design

Geofenced delivery robots and AGVs. Camera-first perception, low-speed envelope, on-device LLM for human handoff at the door.

Low-speed L4< 100 ms perception6× camera + USS + IMUJetson Orin AGXLocal low-speed vehicle frameworks

Off-highway autonomy on closed sites: haul trucks, tractors, mining loaders. GPS-RTK + camera, robust comms over private LTE / mesh.

L4 (closed site)< 100 msGPS-RTK + camera + radarIndustrial Jetson AGX ruggedSite-operator controls (ISO 17757-aware)

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