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INDUSTRY · AUTONOMOUS DRIVING

L4 Production Infrastructure for Autonomous Driving

For L4 low-speed closed / semi-closed scenarios in mining, logistics, campuses and last-mile delivery: domain controller hardware, autonomous driving software stack and cloud operations — delivered as a complete system or as flexible components.

Industry Challenges

From 'it drives' to 'it operates and scales'

CHALLENGE 01

Long Development Cycles

Companies entering unmanned logistics without an AD background face long vehicle-level integration cycles and high validation costs.

CHALLENGE 02

Harsh Environments & Operations

Mining and port scenarios are harsh with constrained networks; scale operations require teleoperation, dispatch and data-loop support.

CHALLENGE 03

Safety & Compliance Risk

L4 systems demand high functional safety and cybersecurity assurance; a missing certification path directly impacts deployment schedules.

CHALLENGE 04

Prototype-to-Production Gap

ROS prototypes differ greatly from production in communication, diagnostics, health management and stability, making engineering hardening costly.

How We Help

01

Production-Ready Logistics Vehicles

Five-layer software stack plus sensor suite, domain controller and drive-by-wire integration: out-of-the-box, closing the loop from vehicle integration to SOP.

02

Turn-Key Mining Trucks

End-to-end delivery from architecture design and compliance certification to production maintenance: L4 haulage with cloud dispatch, teleoperation and operational support.

03

Cloud Operations & Data Loop

Cloud control platform (monitoring / dispatch / right-of-way / OTA / fleet) with a data loop (collection → labeling → training → evaluation → OTA) and HIL simulation regression.

04

Compliance & Safety Engineering

Functional safety analysis, cybersecurity and data compliance, auditing and permission governance delivered per project, so certification never becomes a bottleneck.

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