Engineering the Foundation of Trust: A Deep Dive into ADAS Verification & Validation

The road to autonomous and semi-autonomous vehicles is paved with sensors. Radar, LiDAR, and cameras are the eyes and ears of every modern Advanced Driver Assistance System (ADAS) and the safety of every driver, passenger, and pedestrian on the road depends on them working flawlessly, every single time.

But building these sensors is the first challenge. Proving they work reliably, safely, and under every conceivable condition is an entirely different one. That is the work of Verification & Validation (V&V), and it is where Hinduja Tech has built deep, demonstrable expertise.

Across four major ADAS V&V programs, our teams have validated radar sensors, front camera modules, LiDAR units, and ADAS domain controllers for some of the world's most demanding OEMs and Tier 1 suppliers. Here is how we did it.

Case Study 1: Verification & Validation of Radar Sensors

The Challenge As radar technology advances, so does the complexity and cost of qualifying it. Manufacturers face a hard commercial reality: scale requires speed, but safety cannot be compromised. The goal was to build a validation program rigorous enough to meet functional safety requirements, yet efficient enough to support commercial timelines.

Scope of Work Hinduja Tech's engagement covered the full V&V lifecycle for the radar sensor program:

• Safety Analysis: identifying hazards and establishing the safety case for the sensor system
• RADAR test strategy and software qualification planning
• Software unit and integration testing
• Functional safety requirements validation to ISO 26262

Tools & Technology Used

• MATLAB
• dSPACE ASM
• Python
• Vector CANoe (Ethernet)
• Code Beamer
• DOORS
• Jenkins

**Key Takeaway: ** By applying a structured test strategy with a mature toolchain, Hinduja Tech helped reduce the burden of radar qualification, cutting both cost and cycle time while maintaining full traceability to functional safety requirements.

Case Study 2: ADAS Domain Controller Validation

The Challenge The ADAS System Domain Module (ASDM) sits at the centre of a vehicle's safety architecture. It aggregates sensor inputs, processes them, and commands safety-critical actuators, all in real time. Validating it demands both deep technical knowledge and disciplined program management, particularly when managing multiple variants, tight release schedules, and full traceability requirements simultaneously.

Scope of Work This engagement covered the full testing lifecycle for ASDM variants 2 and 3:

• Requirements analysis and test case development
• Test automation using CAPL scripting; manual testing where required
• Validation of diagnostics, CAN communication, cybersecurity, and software download modules
• System testing, including smoke, preliminary, and full regression
• Test bench setup and execution by configuring the hardware environment and running the test suite

Challenges Overcome The team navigated several significant program-level challenges: analysing test reports and debugging failures with timely defect reporting in JIRA, managing project release artefacts in a repository while maintaining full traceability, and closing software releases with quality on time with lean resources.

Tools & Technology Used

• PTC Integrity
• GIT
• DSA
• Infineon Memtool
• JIRA
• DOORS
• Vector CANoe
• CANDIVA
• FlexRay
• CANFD

Key Takeaway: Multi-variant ADAS controller validation demands both technical rigour and disciplined execution. Hinduja Tech delivered full test coverage across ASDM2 and ASDM3 while managing traceability and quality under real-world program pressures.

Case Study 3: Front Camera Module (FCM) Validation

The Challenge Front camera modules are responsible for some of the most consequential ADAS features in production vehicles, including automatic emergency braking, adaptive cruise control, and augmented reality displays. Validating these against OEM-specific requirements, across continuous software releases, while enabling multiple engineers to share HIL hardware remotely, required a highly automated and flexible test environment.

Scope of Work The engagement focused on validation of the FCM ECU, covering:

• Validation of Global Modules: Partial network, diagnostics (UDS-ISO 14229-1), power mode, multi tester, and OEM-specific modules
• Validation of ADAS Features: AHBA (Auto High Beam Activation), AR (Augmented Reality), ACC (Adaptive Cruise Control), and AEB (Auto Emergency Braking)
• Functional safety requirements validation
• Fault Handler Testing: Loss of communication, invalid, and bus off scenarios

Challenges Overcome The team managed four distinct technical challenges:

• Meeting the demands of continuous software releases within compressed timelines.
• Conducting feature validation using dSPACE in a virtual access environment.
• Enabling multiple team members to share HIL and dSPACE hardware remotely.
• Migrating existing manual test cases to automated execution.

Tools & Technology Used

• IBM Rational DOORS or ALM for requirements management
• CANoe V.11, CANalyzer V.10 and other vector tools
• Development programming system and Winidea for ECU flashing
• PTC or ALM or JIRA
• dSPACE tools: ControlDesk / ModelDesk / MotionDesk

**Key Takeaway: ** HIL-based validation with remote access and test automation allowed Hinduja Tech to support continuous GM software releases, validating safety-critical ADAS features with speed, consistency, and full OEM traceability.

Case Study 4: LiDAR Verification & Validation

The Challenge The LiDAR unit validated in this program is a Far Infrared (FIR) Light Detection and Ranging module. Weighing under 4kg with a circular footprint of 165.5mm, it connects to the vehicle via power and 1000T1 Ethernet (2-wire) harnesses and is responsible for obstacle detection within the ADAS stack.

Scope of Work

• Requirement Capture: translating system-level needs into testable validation requirements
• LiDAR test strategy and software qualification planning
• Software unit and integration testing
• Functional safety validation aligned to applicable safety integrity targets

Tools & Technology Used

• Wireshark
• VeloView
• Vector CANoe (Ethernet)
• Code Beamer
• DOORS

**Key Takeaway: ** LiDAR validation demands precision at both the hardware interface and the software level. Hinduja Tech delivered end-to-end V&V, from requirement capture through functional safety sign-off using a toolchain purpose-built for Ethernet-based sensor validation.

Why ADAS Verification & Validation Matters More Than Ever

As vehicles become more autonomous, the margin for sensor error approaches zero. A radar that misclassifies an obstacle, a camera module that fails to trigger emergency braking, or a LiDAR unit with a software fault in its detection stack; any one of these failures can have life-or-death consequences.

This is why V&V is not a cost to be minimised; it is the engineering foundation on which trust in autonomous mobility is built.

Across these four programs, covering radar, front camera, LiDAR, and ADAS domain controller validation, Hinduja Tech has consistently delivered complex V&V programs on time and with quality. From safety analysis and functional safety validation to HIL automation and multi-variant controller testing, our teams bring both the technical expertise and the programme discipline that ADAS validation demands.

Contact us at info@hindujatech.com