In connected car news are STRADVISION, Motive, Wolfspeed, Toyota, AECC, Audi, UST, Italdesign and OCTO.
In this Article
STRADVISION Hybrid Cloud Roadmap for Next-Generation Vehicle Perception
At AWS re:Invent 2025 in Las Vegas, STRADVISION announced a new technology roadmap focused on transforming its data operations for autonomous driving development. Led by Insu Kim, Head of the company’s Data Innovation Center, the presentation detailed the growing challenges posed by massive multimodal sensor datasets, larger AI models, and global training workloads.
Kim outlined how traditional on-premise systems had slowed iteration and limited scalability. In response, STRADVISION is adopting a hybrid cloud architecture that links its existing infrastructure with AWS services, enabling more elastic, efficient, and automated data ingestion, processing, and curation. The redesigned workflows reduce operational bottlenecks without requiring a full migration to the cloud.
The company’s upcoming roadmap will expand this hybrid platform to support unified global data access, automated pipelines from ingestion through validation, and scalable synthetic data generation—part of a broader effort to accelerate AI model development and strengthen collaboration across distributed engineering teams.
Motive Detects Early Warning Signs of High-Risk Driving
Motive introduced three new AI-powered Driver Safety capabilities—Lane Swerving Detection, Smoking Detection, and Forward Parking Detection—aimed at identifying early predictors of dangerous driving and preventing collisions before they occur. Designed for real-time visibility and rapid intervention, the new features expand Motive’s safety platform at a time when fatigue, distraction, and roadway departures continue to contribute to elevated global traffic fatalities.
The updates run on the Motive AI Dashcam, which has already helped prevent an estimated 170,000 accidents since 2023. New capabilities include:
• Lane Swerving Detection that flags repeated swerving—an indicator in most fatigue-related crashes—and alerts managers in real time.
• Smoking Detection that identifies cigarette use while driving and issues immediate in-cab alerts, especially critical for hazmat operations.
• Forward Parking Detection that identifies vehicles reversing out of head-first parking spots to reduce low-speed and pedestrian-related collisions.
These tools build on Motive’s broad AI safety stack, which detects more than 15 unsafe behaviors and reduces collisions by 80% on average. Supported by data from over one million vehicles and a 400-person human-in-the-loop validation team, Motive’s system delivers highly accurate, context-aware event detection to help fleets coach drivers earlier and prevent severe incidents.
Wolfspeed Silicon Carbide MOSFETs Toyota’s Next-Generation EV Onboard Chargers
Wolfspeed announced that its silicon carbide automotive MOSFETs will be used in the onboard charger systems of Toyota’s upcoming battery electric vehicles. The partnership underscores Toyota’s confidence in Wolfspeed’s quality, long-term reliability, and U.S.-based supply chain.
Silicon carbide technology, now becoming the industry standard for high-voltage EV power systems, delivers faster charging, higher efficiency, reduced energy loss, and improved driving range. Wolfspeed’s components will enhance Toyota’s auxiliary power systems by enabling shorter charging times and better overall performance throughout the vehicle lifecycle.
The collaboration builds on years of engineering cooperation and aligns both companies’ goals to accelerate global vehicle electrification. Wolfspeed’s silicon carbide solutions are already supporting a wide range of EV platforms across OEMs and Tier 1 suppliers, making the company a key player in the expanding EV ecosystem.
AECC Outlines Core Requirements
The Automotive Edge Computing Consortium (AECC) has published a white paper, Core General Requirements of Messaging Platforms for Connected Vehicles, providing a foundational framework for designing the messaging systems that enable communication between connected vehicles and cloud services. The paper outlines essential requirements for future-ready platforms, emphasizing architectural simplicity, massive scalability, high availability, low-latency responsiveness, interoperability across systems, strong observability, regional data security and privacy compliance, neutrality in messaging protocols, and portability across diverse platforms.
The white paper breaks down three major communication patterns—vehicle-to-cloud, cloud-to-vehicle, and vehicle-to-X-to-vehicle—illustrating how data moves through modern connected vehicle ecosystems. By prioritizing edge-computing architectures, the AECC highlights strategies for handling high-volume data, mitigating network disruptions, and supporting varied hardware and software environments across global vehicle fleets.
Standardization and vendor-neutral designs, the paper notes, can significantly reduce long-term operational costs while improving performance and reliability across millions of vehicles. The document is aimed at OEMs, technology companies, and other automotive stakeholders seeking guidance for building scalable, interactive, and resilient connected-vehicle services.
AECC Board Chairperson Dr. Ryokichi Onishi said the white paper offers a roadmap for developing messaging platforms capable of managing the growing data demands of connected vehicles, strengthening safety, efficiency, and the overall user experience.
Audi Partners with UST as UST Acquires Majority Stake in Italdesign
The Audi Group has formed a strategic partnership with UST as the global technology firm moves to acquire a majority stake in Italdesign from Lamborghini, which will retain a significant share. Audi will remain a long-term strategic partner and key client of Italdesign. The deal pairs UST’s strengths in AI-driven engineering, software-defined vehicle development, and digital ecosystems with Italdesign’s expertise in design, engineering, prototyping, and limited-series production. Together, they aim to offer an end-to-end vehicle development capability and expand Italdesign’s global reach across UST’s network in more than 30 countries. UST will take over operational control while preserving Italdesign’s Italian design heritage. The transaction, part of Italdesign’s long association with the Volkswagen Group since 2010, awaits regulatory approval, with financial terms undisclosed.
OCTO Unveils AI-Powered Predictive Anti-Theft System
OCTO has introduced a predictive anti-theft system that uses artificial intelligence, machine learning, and advanced sensors to anticipate vehicle theft before it occurs. Built on 22 years of expertise and 610 billion kilometers of driving data, the solution shifts vehicle security from reactive to proactive, offering real-time, personalized protection for private cars and fleets.
Key features include tampering detection, recognition of abnormal vehicle movement, device-connection loss alerts, AI-driven driver behavior analysis, and geofencing that flags entry into high-risk or suspicious areas. These data streams are continuously analyzed to calculate real-time theft risk and trigger targeted countermeasures. OCTO’s operations center then uses advanced monitoring and intervention tools to act quickly, drawing on extensive experience handling thousands of theft cases each year.