Connected vehicles generate an immense and growing amount of raw data that can be converted into valuable information for automakers and their customers. This raw data needs to be refined and holds the key to new features, personalized experiences, and substantial increased revenue. Automakers need new data management solutions to handle this surge. The continued development of electric vehicles and autonomous features will depend on the ability to clean and process data in real-time, both within the vehicle and externally.
Cars are no longer just machines; they're complex computer networks on wheels. Electronic Control Units (ECUs) handle everything from advanced driver assistance features (ADAS), engine management to entertainment systems. This is shifting towards Software-Defined Vehicles (SDVs) where data from any part of the car can be analyzed instantly. ITTIA offers a suite of database products that offers the perfect solution to enable processing and analyzing data from all sensors instantly and storing and uploading only the relevant data to the cloud.
Built for Automotive
From intelligent passenger vehicles and delivery trucks to shared mobility solutions like scooters and buses, the entire spectrum of smart transportation can benefit from embeddable ITTIA DB technology. ITTIA DB empowers multiple use cases for vehicles from making intelligent decisions in real-time to proactively identify potential issues by enabling on-board anomaly detection queries. By capturing sensor data in real-time, ITTIA DB empowers Electronic Control Units (ECUs) to process, analyze, and act on it dynamically. This valuable information can then be securely shared with other vehicles, traffic infrastructure, maintenance centers, and even satellites – creating a more intelligent and interconnected transportation ecosystem.
ITTIA Data Management Solution stands out as a powerful solution for automotive applications due to its strategic alignment with automotive industry standards and technologies.
The ever-growing amount of data from sensors and Electronic Control Units (ECUs) in Software-Defined Vehicles (SDVs) presents both opportunities and challenges. Here's how ITTIA can empower automakers in managing this data for various use cases including AI/ML use cases:
1. Real-time Analytics for ADAS Systems:
- Use Case: ADAS features like automatic emergency braking rely on real-time sensor data analysis. Traditional systems might send data to a central computer, causing delays.
- How ITTIA DB Helps: It stores data directly on the relevant ECU, enabling real-time processing and fast decision-making for ADAS features, ultimately enhancing safety.
2. Predictive Maintenance and Remote Diagnostics:
- Use Case: By continuously monitoring vehicle health data from various ECUs, potential issues can be identified before they become major problems.
- How ITTIA DB Helps: Embedded on ECUs, ITTIA DB can collect and analyze sensor data to detect anomalies. ITTIA DB can track component wear, usage patterns, and sensor data, feeding AI/ML models that predict potential failures. This allows for proactive maintenance alerts and remote diagnostics, saving on downtime and costs.
3. Over-the-Air (OTA) Updates and Feature Management:
- Use Case: SDVs enable features and bug fixes to be delivered wirelessly (OTA). Efficient data management is crucial for update distribution and version control.
- How ITTIA DB Helps: ITTIA DB can track software versions on individual ECUs, ensuring smooth OTA updates and rollbacks if needed. These streamlines feature management and dramatically improves software quality.
4. Personalized In-Vehicle Experiences:
- Use Case: By analyzing driver preferences and contextual data, automakers can personalize in-car experiences such as climate control and entertainment settings.
- How ITTIA DB Helps: Store anonymized driver behavior and preference data locally on the vehicle. ITTIA DB can securely manage this data for personalized features without compromising privacy.
5. Edge Data Computing:
- Use Case: Data must be processed and analyzed inside the vehicle and not all data needs to be sent to the cloud. Processing data locally (at the edge in-vehicle) greatly reduces latency and improves security.
- How ITTIA DB Helps: ITTIA DB's embedded nature allows for secure data storage and processing directly on ECUs, in-vehicle. This reduces reliance on cloud connectivity and safeguards sensitive vehicle data.
6. Edge Data Security
- Use Case: As connected vehicles hit the markets and the road, OEMs must increase data management efforts to protect customers against cyberattacks, inside and outside vehicle.
- How ITTIA Helps: Data encryption, authentication, ITTIA DB Security Expert Agent Library (DB-SEAL), and consulting to support hardware security modules are among the security features offered by ITTIA. ITTIA SDL Is Conformant to the Principles of IEC/ISO 62443.
7. Data ownership and data maintenance cost
- Use Case: OEM seeks abilities to collect, processes, modify, package, derive benefit from, sell as well as the right to own vehicle data to assign privileges to customers.
- How ITTIA Helps: In-vehicle data computing offers an efficient alternative; when applications embed ITTIA DB, data is processed and analyzed first closer to the point where it's created. Because data does not traverse over a network to a cloud or data center to be processed, latency is significantly reduced and data is owned by the OEM and its customers.
ITTIA DB's small footprint, low processing overhead, and deterministic nature make it the perfect embedded database for software-defined vehicles. With ITTIA DB, ECUs can seamlessly ingest, and process vast amounts of raw data generated by the vehicle, driver, and passengers. This empowers automakers to innovate, creating applications that enhance driver comfort, safety, and security, while also offering new opportunities to monetize vehicle data.
Support for Domain and Zonal based architectures
Many automakers favor a domain-based architecture for data management and processing. This approach aligns with their integration of ECUs focused on specific functions like engine control, braking, climate systems, and infotainment. As vehicles generate more data and require intelligent data management, ITTIA DB becomes an ideal solution. ITTIA DB, as an embedded database, can be strategically integrated within this architecture to optimize data management for each domain. ITTIA DB empowers domains to manage and optimize their data, while selectively sharing insights with a central vehicle gateway database. This creates a powerful balance between reliable edge data management and centralized control, perfectly complementing the strengths of a domain architecture.
Domain Centralized E/E Architecture
In a zonal architecture, ECUs are grouped based on their physical location within the vehicle. A central gateway orchestrates data communication and processing. ITTIA DB can be seamlessly integrated into this architecture, empowering intelligent data management both within zones and vehicle-wide. Specifically, ITTIA DB instances can be embedded within zone controllers to optimize data handling for each zone. Additionally, a central ITTIA DB on the gateway manages overall data flow and cross-zone coordination. Each ITTIA DB-equipped zone communicates through the central gateway, enabling efficient data sharing with relevant components in other zones and the outside world.
Zonal E/E Architecture with High-Performance Computing Unit
Summary
ITTIA offers a cutting-edge in-vehicle data management solution for SDVs, delivering real-time data processing, optimized storage and minimal footprint on resource-constrained ECUs, and robust security. This empowers automakers to create more intelligent, responsive, and safe vehicles.
- Real-time Processing: Enables fast data analysis for critical applications like ADAS.
- Efficient Storage: Optimizes storage usage on resource-constrained ECUs.
- Enhanced Security: Offers robust encryption and access control for sensitive data.
- Flexibility & Scalability: Adapts to evolving SDV architectures and data demands.
- Time Series Data Management: With ITTIA time series database data is captured, stored and transmitted over consistent intervals of time. Cross-sectional data that consists of several variables can be recorded at the same time. With ITTIA DB data means both time and value.
- Data Integrity: By processing and managing data in-vehicle, ITTIA DB data organizations not only ensure the integrity of the data but offers the peace of mind that OEMs and customers have accurate and correct data.
- Data Ownership: ITTIA DB empowers OEMs to build modern systems which has a relatively small footprint in terms of computational resource usage, but a significant impact on the protection of data ownership and management of data.
By selecting ITTIA, automakers invest in an in-vehicle data management solution that will grow and adapt alongside the rapid evolution of Software-Defined Vehicles, ensuring that their data management infrastructure remains modern, robust and reliable for years to come.
