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Automotive Embedded Development
Software has become integrated with core vehicle functions to an extent never seen before. Embedded automotive software development enables the transition to software-defined vehicles (SDVs), bridging the gap between vehicle and mobility ecosystem to enhance safety and efficiently process ever-growing volumes of data.
Intellias provides multi-layer expertise in co-creating automotive embedded systems and solutions for OEMs and Tier 1s, ranging from sensor programming and platform integrations to middleware and app development to control critical driving functions.
Aiming to provide optimal automotive embedded software development services to our clients, we start with high-level requirements analysis and progress to architectural design, implementation strategies, optimization best practices, and cybersecurity.
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Automotive embedded software development competencies
HMI and In-Vehicle Infotainment (IVI)
We build complex HMI and IVI solutions that support multimedia features, comfort functions, personalization settings, and online services, covering architectural design, validation of cybersecurity compliance, and configuration of embedded operating systems including Automotive Grade Linux, Android Automotive, BlackBerry QNX, Kernel-based OS, and custom-made embedded Linux with the integration of leading frameworks like Kanzi, Altia, DiSTI, Qt Automotive, Vulkan, and OpenGL.
Board Support Package
We provide expertise in BSP development from low-level bootloader bring-up, Hypervisor porting, and adaptation to target platforms, to development of Yocto-based BSPs for target boards and BSPs for virtual Hypervisor environments, middleware services, apps, and secure firewall scripts. We work with Adaptive and Classic AUTOSAR platforms, open-source RTOS, Android, Linux, and QNX, covering maintenance and upgrades of customer-specific boards based on SoCs from Qualcomm, Renesas, Infineon, TI, Intel, and NXP.
AUTOSAR-compliant ADAS
We develop AUTOSAR-compliant embedded software modules, working with microcontroller platforms and AUTOSAR Classic and Adaptive Platforms, migrating to new SoCs/MCUs, creating prototypes for target boards with necessary MCAL modifications, running vehicle bus simulations using leading tools like dSPACE and Vector, validating the architectural design of AUTOSAR-based ECUs for functional safety compliance, automatically generating code with Matlab/Simulink, and performing AUTOSAR module functional and integration testing with model in a loop and hardware in a loop approaches.
AI and Machine Learning
We cover the integration of ADAS-enabling functions, including real-time perception algorithms, FuSa-compliant ML algorithms, embedded navigation, and high-performance embedded services with OS Linux, RTOS, and QNX. We work with operation systems on multiple levels, from creating sensor firmware and developing Linux drivers to integrating middleware of AI/ML/DNN frameworks into BSPs, developing ADAS testing apps, and integrating SDKs for ADAS, GL Studio, and Qt.
Validation and verification
We have a deep understanding of full-cycle development, integration, and validation of AUTOSAR-based ECU components and ADAS/AD (autonomous driving) 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.
Functional safety
We follow the ISO 26262 framework to ensure the safety of vehicle electrical and electronic systems, reduce software failures, build testing models, create software for ECU modules, and align processes with industry standards. Our embedded engineers are experienced in ASIL-A/ASIL-C compliant ECU development and in-vehicle bus simulation using tools from leading suppliers like Vector and dSPACE.
ECU development
We have practical experience working with AUTOSAR-based architectures to create software for critical ECU systems that control body electronics, powertrain, transmission, chassis acceleration, deceleration, steering, and braking. We cover the full-cycle development of virtualized Hypervisor solutions to test and configure ECU performance, optimize computing and energy power consumption, and validate compliance with ASPICE requirements.
Firmware Over the Air
We have extensive expertise in developing custom over the air / firmware over the air (OTA/FOTA) components for remote and background updates of ECU firmware. This includes configuring and integrating open-source and commercial OTA/FOTA products to achieve efficient update downloads and reduce install time, minimize download package size, and integrate and test third-party OTA/FOTA solutions for compliant ECU firmware updates.
In-vehicle networks
We create software for CAN, LIN, V2V, V2X, and other in-vehicle networks, enabling real-time ethernet connections, stable high-speed wireless connections, and optimized energy consumption. We create communication protocols for in-vehicle communication between ECU units, cloud connectivity, and processing of incoming telematics data (car sensor data, weather data, data from road infrastructure) for critical safety functions.
V2X
We develop embedded software to connect vehicles, cloud, and infrastructure using hardware and software from Qualcomm, Quectel, and Cohda Wireless. This software enables V2X communication by integrating onboard modules with leading cloud services, ensuring high solution availability and optimal processing of third-party and in-vehicle telematics data for enhanced vehicle performance.
Cybersecurity
We ensure the highest level of security for connected vehicles, adhering to ISO 21434 standards in cybersecurity planning. We run SDLC audits and complex cybersecurity assessments for vehicle ECUs and in-car networks with modeling and analysis of cybersecurity issues, probability estimation, and mitigation planning.
eMobility
We work on adaptive, reliable, and secure embedded navigation for EVs, implementation of FOTA updates, and development of embedded computing solutions that ensure efficient charging network management and prevent failures in integration with the smart grid. We support clients with the implementation of CPP/OCPI protocols for EVs, charging infrastructure, and various hardware classes.
Edge computing
We integrate core in-vehicle modules with transport and traffic management systems, creating embedded software that leverages edge computing power for critical safety features to improve vehicle performance and response times. Our expertise in optimizing algorithms and applying leading frameworks allows for real-time data processing and reduces dependency on cloud services and connectivity networks.
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