Connected Car News: Visteon, Qualcomm, EverDriven, Google, Android Auto, AUTOSAR, iSOFT & Geotab

In connected car news are Visteon, Qualcomm, EverDriven, Google, Android Auto, AUTOSAR, iSOFT and Geotab.

Visteon Partners with Qualcomm for D6Sigma Edge AI Industrial Product Line

Visteon Corporation launched D6Sigma, an edge AI product line designed for industrial automation, developed in collaboration with Qualcomm Technologies. The system leverages Visteon’s CognitoAI-IoT platform alongside Qualcomm Dragonwing IQ9 Series processors to enable real-time vision AI directly on the factory floor. The integrated edge stack incorporates Edge Impulse for machine learning operations, Qualcomm Insight Platform for generative AI video analytics, and FoundriesFactory for fleet device management, allowing for localized, low-latency inference of multiple camera streams.

The product architecture targets automated operational monitoring across sectors including automotive, electric vehicle, surface-mount technology assembly, and pharmaceutical manufacturing. Initial internal deployments within Visteon production facilities focus on vision-based quality inspection, worker personal protective equipment compliance, and assembly verification. A primary commercial application includes the automated identification and classification of micro-stoppages to capture unrecorded assembly line downtime.

EverDriven Launches TripCentral Alternative Student Transportation Management Hub

EverDriven has introduced TripCentral, an upgraded student transportation management platform engineered for school districts managing alternative student transit logistics. The software hub centralizes trip planning, tracking, and operational analytics into a single interface to manage routes for high-need student populations, including individuals with disabilities and students experiencing housing instability. The platform replaces EverDriven’s legacy district portal, integrating artificial intelligence to automate routing and service adjustments.

The updated architecture features direct trip submission, customized scheduling for variable pickup or drop-off locations, and self-service analytics tools to evaluate transportation performance. It also expands data capture capabilities for specific compliance and student safety requirements, such as specialized mobility assistance, behavioral considerations, and specific safety equipment configurations. The platform reduces initial onboarding timelines, allowing districts to establish compliant student transit routing within a multi-hour window to supplement traditional yellow bus fleets.

TripCentral will deploy nationwide across the company’s service network of more than 800 school districts in 37 states for the 2026-2027 academic year. The release represents the initial phase of a broader technology rollout scheduled for the upcoming school year, which will subsequently introduce on-demand trip modification capabilities for districts and caregivers.

Google Meet Rollout Completes on Android Auto Platform

Google has finalized the broad deployment of its Google Meet integration for Android Auto, establishing audio-only conferencing capabilities natively within compatible vehicular infotainment dashboards. The communication utility operates with rigid safety configurations, stripping out visual feeds and advanced interactive mechanisms to prioritize driver focus while facilitating integration into corporate workflows.

The system populates scheduled teleconferences and communication history directly onto the vehicle display when connected via a standard USB or Bluetooth interface. Current limitations exclude enterprise work profile architectures from displaying upcoming calendar events natively on the vehicle terminal, though active inbound calls remain functional. To minimize driver distraction, the integration automatically defaults to an optimized on-the-go mode that disables standard mobile application features including digital hand-raising, polls, and textual question-and-answer queues.

System parameters enforce a direct-join protocol that bypasses the traditional pre-call waiting green room, immediately connecting the user to the audio stream. Hardware inputs are restricted to fundamental telematics commands including microphone muting, call termination, and inbound invitation management. Video streams and supplementary data sharing remain entirely locked unless the mobile device is decoupled from the vehicle interface or the vehicle is placed in a stationary state.

Rambus Launches Arm-Based Root of Trust Silicon IP For Software-Defined Vehicles

Rambus has introduced the CryptoManager RT-648, an automotive-grade embedded Hardware Security Module designed for direct integration into the Arm Compute Subsystem architecture. The IP block represents the first Rambus Root of Trust solution utilizing a 32-bit Arm Cortex-M33 processor. This transition from proprietary or discrete architectures enables automotive SoC developers to deploy hardware-anchored security within standard Arm Zena CSS development environments, reducing integration complexity across ADAS, infotainment, and centralized compute workloads.

The module executes secure boot, authentication, cryptographic acceleration, and lifecycle state management within an isolated, tamper-resistant environment. To satisfy automotive functional safety and cybersecurity compliance, the internal Cortex-M33 core operates in a Dual Core Lock Step configuration for hardware-level fault detection. The silicon IP conforms to ISO 26262 and ISO/SAE 21434 standards, delivering ASIL-B capability. Additionally, the cryptographic engine integrates post-quantum cryptography algorithms, specifically FIPS 203 ML-KEM, FIPS 204 ML-DSA, and FIPS 205 SLH-DSA, to protect against future quantum computing threats.

Fabless semiconductor firm Telechips has already deployed the RT-648 IP into its production automotive SoCs. The integration provides hardware-enforced domain isolation across mixed-criticality workloads within Telechips’ digital cockpit, ADAS, and domain controller platforms. By embedding the security subsystem directly into the primary compute fabric, the architecture maintains secure execution boundaries even if higher-level operating systems or applications are compromised.