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Automotive Engineering

Engineering intelligence into production vehicles.

From system architecture and embedded AI to vehicle integration, validation, and industrialization. We engineer complete vehicle functions against measurable requirements and real automotive constraints.

Discuss Your Vehicle Program
Circular engineering workflow: concept and architecture, A-sample, engineering and design validation, production validation and PPAP, SOP, lifecycle, and feedback into the next development cycle.
ARCHITECT VALIDATE INDUSTRIALIZE

01 / System Architecture & Embedded AI

More capability within real automotive constraints.

Performance emerges from the complete system: optics, sensing, perception, geometry, compute, power, thermal behavior, and latency.

Sensing & Perception

Co-design camera, optics, illumination, image processing, and perception around the intended function and operating conditions.

Embedded Execution

Optimize models, processing pipelines, memory use, and scheduling against compute, power, thermal, and latency limits.

System Tradeoffs

Allocate requirements across subsystems and evaluate how architecture affects performance, packaging, and production cost.

Embedded automotive intelligence and system optimization
One architecture. Interdependent constraints. Measurable system performance.

Applied in our products

HORUSEE DMS + ISA

Integrated driver monitoring and road perception on a constrained embedded platform. Explore HORUSEE →

HORUSEE IRVM

DMS/OMS integration under mirror imaging, packaging, and thermal constraints. Explore IRVM →

02 / Development & Industrialization

Mature work path from requirements to production.

Clear outputs at each stage connect engineering progress to customer program readiness.

  1. 01

    Concept & Requirements

    Define the target vehicle function, use cases, operating conditions, interfaces, performance targets, and acceptance criteria. Assess feasibility and identify the main program risks.

    Representative outputs: Requirements baseline and feasibility assessment.

  2. 02

    System Architecture

    Allocate requirements across sensing, hardware, software, processing, and vehicle interfaces. Establish performance budgets, integration assumptions, and the verification plan.

    Representative outputs: System architecture and development plan.

  3. 03

    A-Sample

    Build initial integrated samples to demonstrate the core concept. Evaluate installation, interfaces, and functional behavior with the customer, and identify changes required for the next design stage.

    Representative outputs: A-sample hardware/software and feasibility results.

  4. 04

    Engineering Validation

    Verify subsystem and integrated-system functions. Evaluate perception, processing, calibration, timing, and interface behavior, and resolve engineering issues against agreed requirements.

    Representative outputs: Engineering validation results and issue-resolution records.

  5. 05

    Design Validation

    Evaluate the intended design under the agreed environmental, electrical, mechanical, and operating conditions. Confirm performance and design robustness against customer acceptance criteria.

    Representative outputs: Design validation evidence and documented design maturity.

  6. 06

    Production Validation

    Evaluate units built through the intended production process. Verify assembly, programming, calibration where applicable, end-of-line testing, traceability, and product consistency.

    Representative outputs: Production validation results and manufacturing-readiness evidence.

  7. 07

    PPAP & Production Approval

    Prepare applicable customer-required PPAP documentation and production approval evidence. Coordinate product and process readiness with the contract manufacturer and customer.

    Representative outputs: Applicable PPAP submission and customer approval records.

  8. 08

    SOP & Controlled Release

    Release approved hardware, software, configurations, and production processes. Coordinate production launch and manage changes through the agreed approval process.

    Representative outputs: Controlled production release and launch support.

  9. 09

    Lifecycle & Field Feedback

    Support diagnostics, issue analysis, maintenance, and approved changes. Feed relevant field findings into corrective actions and subsequent product development.

    Representative outputs: Lifecycle support, change records, and feedback into the next development cycle.

Scope, responsibilities, and deliverables are agreed for each customer program—from software engagements to complete integrated products.

03 / Vehicle Integration

Engineered to become part of your vehicle.

Integration addresses the interfaces, installation, service behavior, and user experience that turn a capable device into a vehicle function.

Engineering workstation with vehicle integration and monitoring tools
Configure, observe, diagnose, and verify system behavior.

Vehicle Interfaces

CAN communication, vehicle signals, ECU interfaces, and program-specific communication requirements.

Diagnostics & Updates

UDS diagnostics, service functions, software-update interfaces, and configuration.

Physical Integration

Mounting, harnesses, connectors, optical placement, enclosure, and installation constraints.

Function & HMI Integration

Warning behavior, display outputs, interaction logic, and coordination with vehicle systems.

04 / Validation & System Performance

Define the requirement.
Measure the complete system.

A perception output alone does not establish delivered performance. We connect requirements, error sources, operating conditions, and acceptance evidence.

Define Measurable Targets

Establish performance requirements and the operating conditions under which they apply.

Allocate Performance Budgets

Account for sensing, algorithms, calibration, processing, and dynamic behavior.

Test the Integrated System

Evaluate relevant users, environments, installations, and operating scenarios.

Report Against Acceptance Criteria

Provide traceable results, identified limitations, and evidence for program decisions.

What system validation addresses
Function Validation considerations
Driver Monitoring Detection performance, false warnings, user variation, lighting, occlusion, and vehicle installation.
3D Pupil Positioning Positioning error, calibration, operating range, end-to-end latency, and dynamic motion.

05 / Automotive Safety & Compliance

Program requirements built into development.

Regulatory, safety, cybersecurity, and software-update requirements influence the architecture, verification plan, and delivery evidence.

Regulatory Functions

DDAW, ADDW, and ISA requirements, associated validation, and support for vehicle homologation.

Safety Engineering

Applicable customer safety requirements, function behavior, fault handling, and required engineering evidence.

Cybersecurity & Updates

Program requirements for access, software integrity, controlled updates, and lifecycle changes.

06 / Production & Lifecycle

Production responsibility beyond the design release.

Mindtronic AI manages product engineering, manufacturing coordination, quality requirements, and lifecycle changes, with production executed through qualified contract manufacturers.

Manufacturing Readiness

Production test, programming, calibration where applicable, and release criteria.

Quality & Traceability

Agreed quality controls, production records, unit traceability, and applicable PPAP documentation.

Configuration & Change Control

Hardware/software versions, approved changes, and coordinated production releases.

Lifecycle Support

Diagnostics, issue analysis, software maintenance, and customer-program support.

Start a project

Bring us your vehicle requirements.

Share your target function, installation conditions, interfaces, performance requirements, and development schedule. Together, we can define the architecture, integration scope, and validation plan for your program.

Discuss Your Engineering Requirements →