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ADAS Application

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Objective

A leading Japanese OEM engaged AVIN Systems to develop multiple ADAS ECUs such as radar, lidar, and camera systems. The goal was to integrate signal processing algorithms, ensure diagnostic compliance, and enable real-time communication between ADAS modules.

Solution

Requirement Analysis & Configuration

Defined signal processing architecture for radar, lidar, and camera ECUs. Ensured diagnostic readiness.

Network Management and Development

Implemented CAN FD and Ethernet-based real-time communication.

Memory and Bootloader Integration

Integrated memory-safe bootloaders and diagnostic flash routines.

Security Enhancement

Applied secure communication protocols and role-based access controls.

Testing and Validation

Used sensor fusion testing frameworks and ISO 26262 validation tools.

Impacts

  1. Reduced integration issues by 30%.
  2. Achieved full compliance with safety and timing constraints.
  3. Enhanced ADAS sensor fusion and performance testing framework.

Tech Stack

  1. AUTOSAR Classic R4.x
  2. Ethernet
  3. CAN FD
  4. C++
  5. Python
  6. Rhapsody
  7. DOORS
  8. ISO 26262.

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