Empowering intelligence and automation where it matters most

ADAS and Autonomous Driving Development

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

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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.

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.

1.

AI strategy and adoption

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

2.

Composable AI agents across the SDLC

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

3.

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.

4.

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.

5.

Human-in-the-loop AI engineering

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

6.

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.

ADAS and autonomous driving development

Empower your ADAS and autonomous driving solutions with Intellias engineering excellence and AI accelerators.

Let’s talk

What our clients say

Bart Sweerman
Senior VP, Global Services & Support at HERE Technologies
bart Sweerman
Eugene Feld
VP of Engineering at MileMaker
Eugene Feld 1
Cesar Arego​
Business Development Manager, Automotive Digital Cockpit​ at TomTom
Cesar Arego
Giovanni Lanfranchi​
CEO at ZEEKR Technology Europe​
Giovanni Lanfranchi

In-focus mobility domains

Partnerships and certifications

Ecosystem provider partnerships
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Compliance with industry standards
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FAQ

As an ADAS development partner, Intellias applies ISO 26262 across safety planning, requirements, architecture, implementation, traceability, and verification to deliver ISO 26262 functional-safety-compliant software. Publicly documented automotive processes include ASIL B development and testing for safety-relevant ECUs, supported by TÜV-certified functional-safety expertise. Project artifacts can include HARA, safety plans, functional and technical safety concepts, verification reports, traceability records, and the safety case.

Intellias integrates time-critical sensor and control functions with AUTOSAR Classic and data-intensive services with AUTOSAR Adaptive. In one production-grade showcase, Intellias, HighTec, and Vector migrated an ultrasonic-sensor software component from C to Rust on an Infineon AURIX TC375. The team generated RTE interfaces with Vector DaVinci, compiled the Rust component with HighTec, linked it with AUTOSAR BSW using TASKING, and validated communication with CANoe. Intellias also integrates NDS.Live services with AUTOSAR Adaptive in the Elektrobit EB corbos environment for real-time ADAS data exchange.

ADAS and autonomous driving development services cover feasibility analysis, architecture, sensor programming, perception, object detection, sensor fusion, localization, path planning, decision logic, embedded integration, and performance optimization. Intellias also provides data preparation, model development, AUTOSAR integration, functional-safety support, and unit, integration, qualification, MIL, SIL, and HIL testing. The scope can extend to requirements traceability, cybersecurity validation, and technical evidence needed to support vehicle homologation.

As an ADAS software engineering partner, Intellias combines data from cameras, radar, LiDAR, vehicle sensors, GPS, and HD maps to create a consistent model of the vehicle environment. Depending on the use case, engineers implement early, feature-level, or object-level fusion with time synchronization, calibration, confidence scoring, tracking, and conflict resolution. The resulting object and road model supports perception, localization, collision prediction, and path planning within a production ADAS platform.

An OEM should select an ADAS and autonomous driving development company with experience across vehicle perception layer, sensor fusion, embedded platforms, AUTOSAR, functional safety, and scalable validation. Intellias works on ADAS, Highly Automated Driving, and Fully Automated Driving enabling platforms, including HD maps and AI-enabled automation technology. Its processes cover ISO 26262-aligned functional safety, Automotive SPICE, requirements traceability, cybersecurity, simulation, and MIL/SIL/HIL testing, supporting project-specific SAE automation levels, production releases, and validation at scale.

Intellias supports Level 4 programs for OEMs, Tier 1 suppliers, and mobility technology providers through its automotive ADAS and AD development services. Its expertise includes ADAS feature integration, real-time edge perception, sensor data processing, precise localization, 3D HD maps, and cloud platforms for highly and fully automated driving. Intellias teams develop and integrate selected components within broader Level 4 architectures, while OEMs typically retain system-level ownership of safety-critical driving functions, the safety cases, final validation, and production approval.

Intellias reduces OEMs dependence on physical test mileage through scenario-based simulation, virtual ECUs, data replay, and Model-, Software-, and Hardware-in-the-Loop testing. ADAS and autonomous driving development services can run thousands of repeatable road, sensor, traffic, and fault scenarios in parallel before targeted vehicle testing begins. Automated pipelines connect results to requirements and preserve logs and compliance evidence, while physical benches and road tests validate the scenarios that require real hardware.