Intellias Mobility Automotive→ADAS and Autonomous Driving Development

Empowering intelligence and automation where it matters most

ADAS and Autonomous Driving Development

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Developing and testing automated driving features for safe and reliable performance in complex environments

As an AUTOSAR Associate Partner, Intellias helps Tier 1 automotive companies and OEMs design AUTOSAR-based architectures for ADAS and autonomous driving solutions, achieve industry compliance, and align with functional safety standards to meet their goals for developing autonomous driving software at scale.

Our ADAS development services empower clients with modern AI/ML technologies, cloud platforms, highly secure AUTOSAR solutions, and real-time operating systems (RTOS). We cover full-cycle ADAS/AD solutions development, from sensor programming and embedded OS integration to real-time data processing, algorithm optimization, and functional development of ADAS applications that automate critical driving functions.

Aiming to deliver efficient ADAS/AD software development services, Intellias combines deep engineering expertise with future-proof AI accelerators implemented across the SDLC.

Trusted by leading companies worldwide

ADAS and Autonomous Driving development competencies

AI and machine learning

We have experience with market-leading AI/ML frameworks, including TensorFlow, Keras, Qualcomm SNPE, Caffee, and cuDNN. We prepare extensive datasets with data labeling, validation, and augmentation for AI networks supervised learning using linear regression, decision trees, case-based reasoning, and Kernel estimators, as well as reinforcement learning applying Q-learning algorithms, Boltzmann machines, Deep Q-Networks, and inverse learning models.

AUTOSAR for ADAS/AD

Intellias is an AUTOSAR Associate Partner, specializing in AUTOSAR Classic and Adaptive Platforms integration and migration to RTOS and AUTOSAR-based solutions. We develop complex and secure architectures based on AUTOSAR standards, integrating third-party components and configuring and validating various AUTOSAR components, including Application Software and Bootloader.

ADAS solution design

Intellias designs ADAS/AD architectures from scratch based on a client’s needs, analyzing the feasibility of initial ideas to determine how they match modern technological capabilities and providing an insight-based optimization strategy, followed by PoC design and implementation.

ADAS solution development

Our experts know how to build custom ADAS/AD solutions aligned with functional safety standards. We implement AI/ML technology specifically for clients’ embedded platforms, improving data processing and verification capabilities with extended data sets required for automated driving features.

ADAS solution optimization

We provide operational support and infrastructure setup, identify infrastructure performance KPIs, configure the environment and infrastructure for ADAS/AD solutions. Our experts optimize data storage access, data caching algorithms, and data preloading, as well as execute test suites to ensure data processing quality meets required KPIs and gather critical metrics on processed data.

ADAS solution integration

We assist in integrating ADAS map solutions into navigation content products, including Minimal Risk Maneuver, Electronic Horizon, Advanced Driver Assistance Systems, and Improved Fuel Consumption. By developing and integrating sensor drivers, we fill ADAS data processing pipelines with safety-critical data.

Automotive OS capabilities

Our automotive OS integration capabilities extend from low-level programming, sensor firmware and OS drivers’ development, profiling, and testing to middleware integration of AI/ML frameworks into a board support package (BSP). We cover development of apps with AD features, integration with Linux and RTOS, acceleration of hardware and integration with SDKs such as proprietary ADAS, CV, Kanzi, GL Studio, Qt, and Android Automotive.

Validation and verification

We have a deep understanding of full-cycle development, integration, and validation of AUTOSAR-based ECU components and ADAS/AD safety functions to ensure industry compliance and alignment with requirements. Our engineering teams perform functional, integration, and qualification testing, validating and verifying ISO/SAE 21434 criteria and simulating ADAS/AD algorithms using modern techniques and proprietary frameworks.

Software and hardware testing

We develop and perform unit, function, integration, and qualification testing using manual/automated tests and applying Model in Loop (MIL) and Hardware in Loop (HIL) testing models. We also perform ADAS/AD penetration testing to ensure the development of highly reliable autonomous driving solutions that can meet security requirements and industry standards and handle real-life road circumstances.

Compliance and certification

We support our clients with validating ADAS features using the NDS Certification Bench and implement alignment strategies to comply with industry standards for safety and security, including AUTOSAR, A-Spice, and FuSa/ISO 26262 implementation requirements. In engineering ADAS/AD solutions, we follow AUTOSAR and ADASIS requirements for seamless integration with custom software.

Clear outcomes: Our clients' stories

Enhancing mobility safety with pedestrian tracking and collision prediction

Intellias developed an R&D pedestrian tracking and collision prediction module to help improve road safety in complex urban environments. The solution combined pedestrian detection with YOLOv3, trajectory prediction using a Kalman filter, road segmentation with Mask R-CNN, and collision probability calculation based on predicted pedestrian movement and road coordinates.

Business outcomes:

Earlier hazard detection – improved recognition of potential pedestrian collisions in blind spots and complex traffic situations
Smarter safety response – supported visual and audio alerts, with automated braking in critical cases
Safer mobility operations – helped reduce incidents and improve protection for vulnerable road users

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Integrating Rust-based applications with AUTOSAR Classic environment

Intellias, in cooperation with HighTec and Vector, modernized embedded automotive software by migrating time-critical ultrasonic sensor software components (SWCs) from C to Rust, ensuring compatibility with AUTOSAR Classic stacks and legacy components. The solution enabled seamless integration into the existing environment, allowing memory-safe Rust applications to interoperate with C without compromising performance or system integrity.

Business outcomes:

Seamless Rust–C interoperability – enabled stable cross-language integration within AUTOSAR Classic environment
Improved software safety – ensured compliance with AURIX memory and safety requirements for embedded systems
Reliable system communication – enabled consistent data exchange between Rust-based and legacy C-based SWCs

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Improving vehicle safety with an ML-based ADAS solution

Intellias led R&D project for developing machine learning ADAS solution by aggregating crowdsourced data on driver behavior, vehicle dynamics, road conditions, and the surrounding environment. Combining telematics, camera feeds, tire intelligence, and external data sources, the team built a database optimized for ADAS and autonomous driving development and testing. The solution also enriched NDS.Live maps with friction layers to calculate advisory speed limits based on real-time tire and weather data, improving vehicle awareness, driver warnings, and overall ADAS safety.

Business outcomes:

Detailed scenario generation – improved input for ADAS and autonomous driving development
Enhanced map intelligence – enabled advisory speed warnings based on tire and weather conditions
Accelerated validation – supported faster evaluation through demos and proof-of-concept applications

Implementing eHorizon for ADASIS v2 applications

For a navigation technology company providing mapping solutions, real-time traffic data, and location-based services, Intellias designed, implemented, and verified an ADASIS v2 solution that generates an Electronic Horizon for ADAS applications using NDS map data. The E2E solution delivery covered requirements analysis, architecture design, implementation, and automated functional testing, while supporting the full set of ADASIS v2 protocol messages, features, and recommendations defined by the specification.

Business outcomes:

Specification-compliant eHorizon – enabled ADASIS v2 message generation in line with provider requirements
End-to-end delivery – covered full development lifecycle from architecture to automated verification
Flexible configuration – supported static parameter setup for different ADAS application needs

Our accelerators for ADAS and autonomous driving solutions

At Intellias, we build accelerators that help OEMs and Tier 1 suppliers test, modernize, integrate, and bring products to market faster without engineering everything from scratch. From next-generation infotainment systems to autonomous driving solutions, our accelerators simplify complex transformations into efficient and scalable implementation of validated industry-grade solutions.

Intellias automotive accelerators showcase our cross-domain expertise, built through collaboration with clients, technology partners, industry associations, and open-source communities. They address key areas where organizations need tech innovation and business efficiency from a proven ADAS and autonomous driving development company, spanning advanced data capabilities, automation functions, cloud connectivity, enhanced user experience, embedded development, and modern platforms.

IntelliKit

The Automotive Portable Kit, or simply IntelliKit, showcases the engineering expertise we provide to our clients by integrating automotive-grade hardware, cloud platforms and tools, developing embedded and middleware software, and designing breathtaking user interfaces.

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Map Compilation Accelerator

Intellias Map Compiler accelerates the compilation of map data in various formats into NDS.Live, allowing businesses to integrate updatable, reliable, and accurate online maps into their products and services.

AI-driven engineering services for future mobility

Intellias takes a strategic approach to advancing AI adoption for clients and within its own organization. We design, implement, and optimize AI strategies, delivering AI-powered engineering services that solve real-world problems and generate measurable results.

We leverage composable AI agents, modular, purpose-built tools integrated directly into the SDLC, where they deliver the highest productivity levels. For our partners, this translates into faster time to market, reduced costs across development and validation phases, and more efficient end-to-end delivery of automotive ADAS and AD development services.

AI strategy and adoption

Designing, implementing, and optimizing mature AI strategies for mobility organizations, from simple AI as an assistant to scaled AI orchestration.

Composable AI agents across the SDLC

Deploying modular AI agents for requirements analysis, architecture design, code generation, test generation, verification, validation, and compliance support.

AI integration with existing toolchains

Implementing AI into established engineering environments through static data and dynamic MCP-based integrations, without disrupting proven workflows or governance.

AI automation for ASPICE V-model

Applying AI-driven tools to automate V-model processes from requirements to qualification, ensuring ASPICE compliant development and maintenance, utilizing cloud- and model-agnostic AI platform.

Human-in-the-loop AI engineering

Combining AI productivity benefits with expert human supervision to ensure safety, quality, and engineering discipline across mobility programs.

AI accelerators for mobility use cases

Running active AI accelerator programs for infotainment testing, LLM-based verification and validation, intelligent map data management, and closed-loop code generation for mobility platforms.

What our clients say

Bart Sweerman

Senior VP, Global Services & Support at HERE Technologies

Over the past few years of our partnership with Intellias, our teams have closely collaborated to successfully deliver critical programs to HERE customers. Intellias teams have consistently delivered on time and on quality. They have been extremely responsive and customer focused, mobilizing quickly to respond to requests, challenges, and feedback. We are looking forward to continuing our close relationship and accompanying Intellias in their global development.

Giovanni Lanfranchi

CEO at ZEEKR Technology Europe

By entering into this partnership, the Intellias hub will act as an extension of our team in Gothenburg, accelerating our overall digital production capabilities and supporting customer co-creation. By having a strengthened team in Europe, we can not only create new unique digital products and services for markets outside of China but also respond quickly to customer input and feedback.

Eugene Feld

VP of Engineering at MileMaker

Throughout years of collaboration, Intellias has proven to be much more than just a software engineering vendor. We built strong partnership with shared goals and vision. They provided consultancy and served as trusted advisors, supporting MileMaker through various situations, even the most challenging ones. With their technical expertise, operational efficiency, and deep understanding of the industry, Intellias has ensured our business continuity, which is critical for our future sustainable growth.

Cesar Arego

Business Development Manager, Automotive Digital Cockpit at TomTom

It all comes down to capabilities, experience, and scalability. The Intellias team has Digital Cockpit-specific knowledge on the SDK level combined with vast experience building HMI solutions. We have also been working with Intellias for quite some time, so there’s a strong relationship there already. These insights and the Intellias capabilities showcased during a couple of joint projects made us believe and trust in Intellias as a partner.

In-focus mobility domains

Digital Cockpit

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Elevating the in-vehicle experience with NDS-based navigation and routing at its core, enhanced by infotainment features, mapping and location solutions for electric, connected, and autonomous vehicles, driver-centric HMIs, and Generative AI for assistance and comfort.

Connectivity & Telematics

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Enabling secure V2X connectivity with industry-grade cybersecurity practices, enhancing the connected driving experience through telematics data, robust platform integration, and over-the-air/firmware-over-the-air (OTA/FOTA) solutions.

eMobility

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Implementing real-time charging network monitoring, efficient EV navigation and route planning, unified payments and eWallet functionality for seamless charging transactions, smart charging protocols, and AI-driven predictive maintenance to reduce range anxiety, enhance the driving experience, and optimize infrastructure use.

Embedded & Platforms

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Controlling critical driving functions through barebone, virtualized, and hypervisor deployments, bring-up development, integration of SoCs and board support packages (BSP) with in-vehicle software, driver experience customization across Linux, Android OS, Kernel, firmware update and testing, on-chip and edge AI implementation.

Fleet & Freight Management

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Empowering businesses with transport, fleet, and freight management systems to automate operations, enable real-time vehicle and container tracking, support predictive maintenance, and implement ELD, telematics, and digital twin technologies, ensuring transparent first/last-mile delivery and regulatory compliance.

Cloud & DevOps

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Enhancing vehicle computing capabilities and modernizing digital environments through cloud and DevOps approaches, enabling apps and workload migration across public clouds and on-premises, implementing AI/ML engineering and MLOps practices, optimizing cloud costs to efficiently exchange, process, and monetize large-scale data.

Location Based Services

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Enriching in-vehicle navigation systems with accurate and compliant SD, HD, ADAS, and EV maps, along with location-based services for routing, traffic, search, and geocoding, enabling the organization and transformation of high-quality geospatial data to build reliable, scalable AI systems for safer and more comfortable driving and transportation.