In connected car news are Aumovio, TrinamiX, TSMC, Mercedes-Benz, Liquid AI, Valeo, Google Cloud, LG Innotek, Razor Tracking, CerebrumX, Arasan Chip Systems, Seeing Machines, Wind River, CHERI Alliance, 5GAA & Netradyne.
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Aumovio & TrinamiX Integrate NIR Spectroscopy For In-Car Alcohol Detection
Aumovio SE and trinamiX GmbH have developed a non-invasive blood alcohol concentration measurement system for automotive cockpits utilizing miniaturized near-infrared spectroscopy. The hardware-software integration allows for precise BAC assessment via fingertip contact with integrated interior surfaces such as touchscreens or steering wheels. The system employs invisible NIR light pulses to detect ethanol molecules within dermal tissue, utilizing AI-based algorithms to analyze backscattered light patterns. Functionality has been validated through clinical studies registered with the German Clinical Trials Register, targeting compliance with emerging global driver monitoring system regulations and Euro NCAP safety protocols.
The sensing module features a compact footprint designed for seamless integration into existing vehicle architectures for OEMs including Volkswagen, Stellantis, and Mercedes-Benz. The technology delivers high-precision readings within a ten-second measurement window, providing a friction-free alternative to traditional breathalyzer-based ignition interlocks. While the current prototype focuses on advisory warnings and sobriety verification, the scalable architecture supports diverse legal threshold configurations across international jurisdictions. Commercial deployment in mass-production vehicle models is projected for the 2029 model year as manufacturers move to meet National Highway Traffic Safety Administration and European Transport Safety Council impairment prevention mandates.
Infrared Spectroscopy Integration For In-Cabin Impairment Detection
Aumovio SE and trinamiX GmbH have introduced a non-invasive blood alcohol concentration measurement system utilizing miniaturized near-infrared spectroscopy for integration into automotive cockpits. The hardware module utilizes invisible light pulses to detect ethanol molecules within sub-dermal tissue upon fingertip contact with interior surfaces such as touchscreens or steering wheel sensors. Reflected light patterns are processed via AI-based algorithms to deliver precise biometric analysis in seconds. This technology addresses evolving global driver monitoring system mandates and Euro NCAP safety requirements for impairment prevention in next-generation vehicle architectures.
Strategic partnerships with Volkswagen AG, Stellantis NV, and Mercedes-Benz Group AG suggest potential mass-market adoption for the 2029 model year as OEMs move toward integrated passive safety systems. The sensor suite is currently undergoing validation through a detailed study registered with the German Clinical Trials Register. While BASF considers strategic options for trinamiX, including a potential divestiture, the development emphasizes high-fidelity biometric sensing as a friction-free alternative to traditional breathalyzer-based ignition interlocks. The scalable architecture allows manufacturers to calibrate threshold alerts to varying legal blood alcohol limits across international jurisdictions without modifying the core hardware.
TSMC Expands Nanosheet And Automotive Roadmap At 2026 Technology Symposium
TSMC debuted the A13 process node at its 2026 North America Technology Symposium, delivering a 6% area reduction over the A14 architecture while maintaining backward design rule compatibility. The logic roadmap includes the A12 enhancement featuring Super Power Rail for backside power delivery in AI and HPC applications, with both nodes scheduled for 2029 production. These advancements follow the 2028 deployment of the N2U 2nm platform, which leverages design-technology co-optimization to achieve 10% power reduction and increased logic density relative to N2P architectures.
The foundry is scaling its 3DFabric advanced packaging with 14-reticle CoWoS integration in 2028 and A14-to-A14 SoIC 3D stacking in 2029 to address high-bandwidth AI requirements. For the automotive and robotics segments, TSMC announced N2A as the first automotive-grade nanosheet process targeting AEC-Q100 qualification by 2028. This follows the 2026 production launch of N3A and the introduction of N16HV, the first FinFET-based high-voltage process designed for next-generation smartphone and near-eye display drivers.
Mercedes-Benz Integrates Liquid AI For On-Device MBUX Intelligence
Mercedes-Benz announced a multi-year partnership with Liquid AI to scale embedded, on-device intelligence across third- and fourth-generation MBUX platforms in North America. The collaboration utilizes Liquid Foundation Models (LFM) integrated into the proprietary Mercedes-Benz Operating System (MB.OS) to enable local language understanding and reasoning. Targeted for production deployment in H2 2026, the initiative transitions the MBUX Virtual Assistant (MVA) voice interaction stack to edge-based processing to ensure data sovereignty and low-latency performance.
The deployment focuses on low-footprint AI architectures engineered to operate on existing vehicle hardware without reliance on cloud-based compute ecosystems. By processing multimodal inputs locally, the system maintains functional consistency in areas with limited connectivity while enhancing the natural interaction capabilities of the software-defined vehicle. This strategic integration of LFMs complements existing cloud LLMs, prioritizing computational efficiency and real-time private intelligence for the next generation of in-car digital services.
Valeo Scales Generative AI And Agentic Workflows Via Google Cloud Partnership
Valeo is scaling its generative AI infrastructure by deploying Gemini for Workspace to 100,000 employees following the integration of Gemini Code Assist, which now accounts for 35% of total code generation. The deployment aims to optimize R&D efficiency and software development cycles through automated document synthesis and enhanced collaborative tools. This initiative leverages Google’s LLM architecture to transform operational workflows while securing proprietary intellectual property across global engineering sites.
The partnership has advanced into agentic AI deployment via the Gemini Enterprise Agent Platform to automate specialized engineering processes. Current agent applications include Software Testing Assistants for test case generation and SDLC Assistants for continuous integration chain optimization. These agentic workflows focus on the development of software-defined vehicles and autonomous mobility, using AI to streamline system requirements and product validation while maintaining human-in-the-loop oversight for safety-critical systems.
LG Innotek To Supply Wi-Fi 7 Modules To European Tier-1 Supplier
LG Innotek confirmed a supply agreement valued at approximately 68 million dollars with a major European automotive electronics firm for its vehicle-grade Wi-Fi 7 communication modules. The hardware is designated for integration into German-manufactured Audio, Video, and Navigation (AVN) systems, with mass production scheduled for 2027. The module supports a 320 MHz ultra-wide bandwidth and utilizes 4K-QAM technology to achieve data transmission speeds exceeding three times those of existing Wi-Fi 6E standards. By increasing data throughput by 20 percent, the architecture supports the high-bandwidth requirements of modern software-defined vehicles and autonomous systems.
The system-on-module integrates a Qualcomm communication chipset and approximately 150 discrete components, including RF circuits and a dual-antenna Multiple-Input Multiple-Output (MIMO) configuration. Engineered for automotive durability, the module maintains operational stability across a thermal range of -40 to 105 degrees Celsius and is miniaturized to roughly one-sixth the surface area of a standard credit card. Beyond initial AVN deployment, LG Innotek plans to scale the technology into Telematics Control Units (TCUs), Domain Control Units (DCUs), and Rear-Seat Entertainment (RSE) platforms to capture share in an automotive Wi-Fi market projected to grow at a 9.6 percent compound annual rate.
Razor Tracking Integrates CerebrumX OEM Data For Mixed Fleet Telematics
Razor Tracking has partnered with CerebrumX Labs Inc. to incorporate manufacturer-driven telematics into its fleet management platform. This integration, marketed as Embedded Vehicle Data, utilizes CerebrumX’s normalization algorithms to ingest high-quality, OEM-grade signals directly from vehicle hardware. The solution aims to eliminate visibility gaps inherent in aftermarket hardware by providing low-latency, near real-time data delivery for mixed fleets across the agriculture, construction, and municipal sectors.
The platform transforms raw vehicle signals into actionable metrics, including ignition status, odometer readings, fuel levels, engine hours, and diagnostic trouble codes. By leveraging embedded telematics via CerebrumX’s Augmented Deep Learning Platform, fleet operators can access consistent data streams across diverse vehicle models and geographies without the need for extensive secondary hardware installations. This approach supports proactive maintenance scheduling and regulatory compliance while utilizing existing vehicle sensors to optimize asset performance and driver safety.
Arasan Chip Systems Achieves ASIL-D Certification For CAN XL IP
Arasan Chip Systems announced that its CAN XL intellectual property (IP) has received ASIL-D certification from SGS-TÜV Saar, meeting the highest functional safety requirements of the ISO 26262 standard. The certification encompasses the CAN XL, CAN FD, and CAN 2.0 IP cores, providing a fail-safe design path for automotive SoCs. Arasan is currently offering a free upgrade to CAN XL for customers licensing CAN FD through June 30, 2026, noting that the gate count increase between the two specifications is minimal.
The ASIL-D certified CAN portfolio is designed for integration into mission-critical ADAS and automotive SoCs. Arasan’s broader functional safety offerings include MIPI DSI-2 and CSI-2 interfaces for displays and cameras, JEDEC eMMC for storage, and automotive-grade Ethernet IP. The company, which has shipped over a billion chips featuring its IP, positions this certification as a core component of its mobile-to-automobile SoC evolution, targeting high-speed connectivity and hardware-level reliability in autonomous and connected vehicle platforms.
Seeing Machines Technical Paper Advocates For Functional Impairment Detection Over Intoxication Testing
Seeing Machines Limited released the second installment of its Technical Paper series, emphasizing that vision-based Driver Monitoring Systems (DMS) provide a superior approach to road safety by focusing on real-time functional impairment rather than chemical intoxication. Unlike traditional law enforcement methods that rely on static blood alcohol concentration thresholds or specific drug markers, camera-based DMS detects the physical indicators of reduced driving capability. This cause-agnostic approach allows the system to identify risks from poly-substance use, fatigue, and other non-chemical factors without requiring specialized sensors for every possible drug.
The paper highlights the critical distinction between intoxication—the presence of a substance—and impairment—the actual degradation of driving performance. By tracking the severity and progression of visual symptoms, DMS enables immediate interventions aligned with actual crash risk. Dr. Mike Lenné, Chief Safety Officer at Seeing Machines, noted that focusing on a driver’s functional state creates a versatile safety net that complements existing roadside deterrence while addressing complex, real-world impairment scenarios that traditional chemical testing often misses.
Seeing Machines Technical Paper Shift From Intoxication To Functional Impairment Detection
Seeing Machines Limited has released the second installment of its technical series addressing driver impairment, advocating for camera-based Driver Monitoring Systems (DMS) as a superior alternative to traditional chemical threshold testing. While legacy safety protocols rely on static Blood Alcohol Concentration (BAC) or specific drug markers, the company asserts that functional impairment detection provides a cause-agnostic assessment of real-time driving fitness. This methodology bypasses the limitations of substance-specific sensors by utilizing computer vision to track physiological indicators of cognitive and motor degradation.
The technical framework distinguishes between intoxication—the presence of a substance—and impairment, which describes the actual reduction in functional capacity. By focusing on behavioral and visual telemetry, DMS identifies risk profiles associated with polydrug use, fatigue, and medical episodes that chemical proxies often fail to capture. This approach allows Tier 1 suppliers and OEMs to implement intervention strategies based on immediate crash risk rather than biochemical presence, positioning DMS as a foundational component for regulatory compliance and advanced ADAS integration.
Wind River Joins CHERI Alliance To Advance Hardware-Based Memory Security
Wind River, an Aptiv company, has joined the CHERI Alliance to accelerate the adoption of Capability Hardware Enhanced RISC Instructions (CHERI) security technology. The collaboration focuses on leveraging hardware-enforced memory protection to mitigate vulnerabilities such as memory corruption and unauthorized code execution at the architectural level. Wind River will integrate these capabilities into its mission-critical software portfolio, specifically targeting production environments using the VxWorks Real-Time Operating System (RTOS) and the Helix Virtualization Platform.
In alignment with this initiative, Wind River was awarded a contract by Innovate UK and the Department for Science, Innovation and Technology to port its software platforms to the CHERI RISC-V architecture. This expansion follows previous successful ports to the Armv8-based Morello hardware, establishing a broader architectural foundation for secure, software-defined systems. By operationalizing CHERI on RISC-V, Wind River intends to provide a scalable, safety-certified framework for next-generation intelligent edge deployments across the automotive, aerospace, and critical infrastructure sectors.
5GAA Validates Scalable Connected Mobility At AstaZero Proving Ground
The 5G Automotive Association conducted live demonstrations at the AstaZero Proving Ground in Sweden, validating the transition of V2X and infrastructure technologies toward large-scale commercial deployment. Technical focus included satellite-enabled fleet management and non-terrestrial network integration for emergency service continuity in areas lacking terrestrial coverage. Engineering teams verified hybrid eCall interoperability and automated network switching behaviors across multi-generation cellular standards to maintain persistent safety-critical connectivity.
Infrastructure trials highlighted real-time roadwork monitoring and cross-border data orchestration, enabling standardized hazard warning dissemination between national jurisdictions. Hardware evaluations confirmed the concurrent reception of 5G-V2X and ITS-G5 protocols on a single chipset architecture. Additional cooperative sensing demonstrations utilized shared radar data and cloud-enhanced ADAS for improved sign recognition and hazard detection, establishing the Nordic region as a reference for scalable connected mobility ecosystems.
Netradyne Secures ISO 42001 Certification For AI Fleet Management Systems
Netradyne secured ISO 42001 Artificial Intelligence Management System certification, recording zero non-conformities across its fleet safety portfolio. The international standard mandates rigorous protocols for transparency, algorithmic fairness, and proactive risk mitigation, aligning the company’s computer vision platform with the EU AI Act and other emerging global regulations. This validation covers the development lifecycle of the GreenZone scoring engine, ensuring that automated driver assessments and real-time coaching alerts meet enterprise-grade governance and explainability requirements.
The certification audit verified the technical maturity of Netradyne AI infrastructure, which utilizes over 27 billion miles of telematics and video data to train its edge-based models. Key compliance pillars include robust data handling for driver privacy, human-in-the-loop accountability structures, and post-deployment monitoring to prevent algorithmic bias. By formalizing these AI management systems, the platform provides independent assurance of model integrity for large-scale enterprise fleet deployments requiring high-fidelity risk management and regulatory alignment.