Autonomous Mobility with Intelligent Solutions

The automotive industry faces several challenges: developing sensor-fusion algorithms for object detection and classification, managing large volumes of sensor data, ensuring data fidelity, and validating algorithms through testing and scenario preparation. Cyient addresses these with advanced Perception Systems, ADAS Sensor Data Fusion, and RADAR Target Simulators. These solutions help automakers handle complex sensor data, ensure accuracy, and accelerate testing, enabling them to overcome critical obstacles in the development of smarter, safer, and connected vehicles while ensuring scalability and performance in real-time environments.

Steering Towards Autonomous Driving
Ensuring Utmost Safety

Perception System

ADAS Solutions

Safety

Cybersecurity

Cyient delivers modular, scalable, and compliant perception systems, from requirement gathering to final implementation, ensuring efficiency and robustness. Our capabilities include:

Verification
and Validation

Test Infrastructure: Automation, HIL systems, validation tests, and ML model training, DV Tests for all make parts, KPI Definition and measurement, Vehicle level tests – static and field tests, Validation Test Reports, Test Vehicle Set up – sensors and instrumentation for data collection, Data annotation and ground truth labeling, Object classification ML model training and validation.

System
Engineering

Architecture, safety, cybersecurity analysis, algorithm development, and HW-SW integration, Design Documentation & Engineering Files.

Sub-System Integration

Functional safety, perception module integration, and validation, Bus Message definition, scheduling, Software Functional Validation.

Enabling safer, efficient autonomous vehicles with cloud-based infrastructure and digital connectivity. Our capabilities include:

HD Mapping

Precise localization and path planning

LiDAR

Accurate site identification for optimal coverage.

V2X

Advanced apps for vehicle-to-vehicle and vehicle-to-human interaction.

Sensor Fusion

Ready-to-use software stacks and toolchain integration.

Ensuring compliance and protection with robust safety solutions. Our capabilities include:

ISO26262 Compliance

Safety planning, hazard analysis, and functional safety assessment.

ISO19014 Compliance

Machine control system safety and HW/SW safety requirements.

Cyient’s dedicated cybersecurity team ensures compliance with standards like ISO 21434, UNECE R.155/R.156, and the Cyber Resilience Act, addressing the growing risks in connected vehicles while enabling safer, smarter, and resilient transportation solutions.

CSMS Process Definition:

GAP analysis, CSMS process roll-out, and OMS integration.

Cybersecurity Management:

Policies, governance, risk management, and vulnerability management.

Supplier Management:

Evaluation, awareness, and alignment with OEM standards.

Concept Development:

Threat analysis, cybersecurity requirements, and risk treatment.

Validation & Testing:

System validation, penetration testing, and cybersecurity reports.

Homologation Support:

UNECE R.155/156 compliance, CoC preparation, and vehicle type approval.

Intelligent Engineering for Connected
and Autonomous Equipment

Platform Engineering

Product Design & Development

System Engineering
Mechanical & Electrical Design
Analysis & Simulation
Manufacturing Engineering

Electronics & Software Development

Hardware Development
Embedded Systems
ECU Development
Software Integration

Vehicle Integration

ECU Integration and Testing
Test Automation
Mechanical, Electrical, and Software Integration

Testing and Validation

Unit & Integration Testing
Zero-Code Test Automation
Comprehensive Testing Services Including Functional, Durability, Environmental, and Compliance testing

Aftermarket Engineering

Service Lifecycle Management
Content Management / Technical Publications
Service Performance Contracts
Field Service Management

Autonomous

ADAS

Test Drive Data Collection
Data Annotation
Vehicle Level Testing
Algorithm Design & Optimization

Perception System

Sensors (LiDAR, Ultrasonic, Cameras, RADAR)
Object Detection and Classification Algorithm

Electrification

Electric Vehicle (EV) Powertrains

Power Electronics
Control System
Noise, Vibration, and Harshness (NVH) Analysis
Motor Design

Battery Systems (BMS and Wireless BMS)

System Architecture & Design
Hardware & Embedded Software Development
Cell Balancing Techniques
Simulation & Modeling
Prototyping & Testing

Digital Engineering & Industry 4.0

PLM

PLM Consulting and Advisory
PLM Implementation, Upgrade & Migration
PLM on Cloud
Sustenance Services

Cloud and Data Analytics

Cloud Native Microservices
AI-Enabled Customer Experience

Smart Manufacturing

Industrial Automation
Operations Management
Data Engineering
Manufacturing Intelligence

In the Spotlight

Security Management System for a Japanese OEM

Cyient managed a Security Management System Program for a leading Japanese automotive OEM, achieving UNECE R.155 and R.156 certifications. The team provided PMO support, managed risks, oversaw telematics integration, and ensured timely completion, delivering robust cybersecurity solutions aligned with Japanese compliance standards.

Perception System for Automated Driving for a European Construction OEM

Cyient developed a perception system for a European construction OEM’s wheel loader, integrating advanced sensors, AI/ML algorithms, and robust safety features. The scalable, modular solution included EE architecture, hardware-software integration, and automated operation capabilities tailored for future growth.

ADAS ECU Software Migration for a Global Automotive OEM

Cyient transitioned ADAS ECU software to a model-based design (MBD) approach for a global automotive OEM. Using tools like Simulink and Matlab, the solution improved software functionality, testing, and scalability for features like FCW, EBA, and LDW.

Camera Lens Dirt Detection Algorithm

Cyient developed a real-time dirt and water detection algorithm for automotive camera lenses, reducing false positives by 20% and cutting hardware production costs by 15-20%. The solution optimized sensor performance using OpenCV and TI TDA2x platforms.

Object Detection for a US Electric Vehicle OEM

Cyient built a customizable ADAS perception stack for a US electric vehicle OEM, optimizing object detection algorithms on Nvidia ORIN/Nano platforms. The solution improved scalability and provided seamless hardware deployment for features like FCW, AEB, and LDW.

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Radar Software for a European Tier-1 OEM

Cyient developed a radar application and configured AUTOSAR-compliant Basic Software (BSW) for a European Tier-1 OEM. The ASIL-B compliant solution included sensor processing, fault management, and scalable radar platform development for advanced driving systems.

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Solutions & Accelerators

Multi-Sensor Fusion Software Stack Development

Cyient developed an AI-based software framework to fuse data from multiple sensors, enabling object detection and classification. The solution provides a generic algorithm framework for detecting and classifying trained objects with precision.

RADAR Target Simulator

Cyient designed a RADAR target simulator to evaluate system compatibility between RADAR specifications and vehicle functions. The tool enables efficient data annotation and labeling, ensuring accurate system validation.

Sensor Placement Tool

Cyient developed a sensor placement tool to assess optimal sensor positioning and specifications for desired vehicle functions. The solution enhances performance alignment with vehicle requirements.

AI-based framework for Object detection and classification

Cyient created a software framework for AI-based object detection and classification. The generic algorithm identifies and classifies trained objects, delivering reliable and scalable solutions.

Data annotation & labeling

Cyient provided a semi-automated tool for data annotation and labeling, streamlining object identification and label generation processes for enhanced accuracy and efficiency.

Insights

Blog

Sensor Fusion: Driving Enhanced Safety for ADAS and Autonomous Vehicles

Explore how combining data from multiple sensors like cameras, radar, and LiDAR creates a comprehensive understanding of the vehicle's environment, enhancing safety and reliability in autonomous driving systems.

Read More →

Blog

High-Definition Mapping: The Foundation of Safe Autonomous Navigation

Discover how HD mapping provides autonomous vehicles with detailed environmental data, enabling precise localization and navigation even in complex driving scenarios.

Read More →

Blog

Depth Estimation Techniques for Off-Road ADAS Applications

Learn about innovative approaches to depth estimation in challenging off-road environments, including the advantages of machine learning-based monocular depth estimation for cost-effective and adaptable solutions.

Read More →

Blog

Revolutionizing Vehicle Connectivity and Safety with V2X Technologies

Delve into Vehicle-to-Everything (V2X) communication technologies and their potential to transform automotive safety, efficiency, and user experience through enhanced connectivity.

Read More →

Blog

Radar Technology — A Key Enabler for Advanced Driver Assistance Systems

Explore the capabilities and applications of radar sensors in ADAS, including their advantages in object detection, distance measurement, and all-weather performance.

Read More →

Intelligent Engineering

Harness Advanced ADAS and Cybersecurity for Smarter, Safer Vehicles.

Steering Towards Autonomous Driving
Ensuring Utmost Safety

Cyient delivers modular, scalable, and compliant perception systems, from requirement gathering to final implementation, ensuring efficiency and robustness. Our capabilities include:

Enabling safer, efficient autonomous vehicles with cloud-based infrastructure and digital connectivity. Our capabilities include:

Ensuring compliance and protection with robust safety solutions. Our capabilities include:

Cyient’s dedicated cybersecurity team ensures compliance with standards like ISO 21434, UNECE R.155/R.156, and the Cyber Resilience Act, addressing the growing risks in connected vehicles while enabling safer, smarter, and resilient transportation solutions.