{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852552","patent":{"patent_number":"US-9852552","title":"Onboard unit and method for updating geodata therein","assignee":null,"inventors":[],"filing_date":"2015-03-12T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G01C","G01C","G01S","G06F","G06F","G06Q","G06Q"],"num_claims":14,"abstract":"An onboard unit for levying tolls for a vehicle comprises a satellite navigation receiver for generating position fixes, a memory for recording geoobjects, a radio interface, and a processor, which generates toll data from a geographical comparison of position fixes with geoobjects in a digital map and transmits this data via the radio interface. The memory has an index memory region for an index tree for geoobjects, a first static object memory region for a primary list with geoobjects, and a second object memory region, which can be written dynamically via the radio interface, for a secondary list with geoobjects. At least one leaf of the index tree contains a reference to a secondary list, and wherein the processor is configured, upon accessing a geoobject via a leaf, to use the secondary list before the primary list. A method for updating geodata in such an onboard unit is also disclosed."},"analysis":{"summary":"The patent **Onboard Unit and Method for Updating Geodata Therein** introduces a highly efficient and dynamic system for managing geographical data within vehicle-mounted units, primarily for electronic toll collection. At its core, the innovation addresses the critical challenge of ensuring real-time accuracy of geodata in a constantly changing environment.\n\nThe system comprises an onboard unit (OBU) equipped with a satellite navigation receiver for precise position fixes, a radio interface for communication, and a processor. The processor's main task is to generate toll data by comparing the vehicle's current position with geoobjects stored in a digital map. The key technical approach lies in its sophisticated memory architecture.\n\nThis memory is structured with an index memory region for an index tree, a first static object memory region holding a primary list of geoobjects (stable, foundational data), and a second object memory region that is dynamically writable via the radio interface, storing a secondary list of geoobjects (frequently changing or temporary data). The breakthrough configuration dictates that when the processor accesses a geoobject via the index tree, it prioritizes the secondary list before consulting the primary list. This ensures that the OBU always operates with the most current and relevant geographical information.\n\nThe problem being solved is the inherent lag and inefficiency of traditional geodata updating methods, which often involve large, infrequent data downloads or manual updates. Such delays can lead to inaccurate toll charges, navigation errors, and operational complexities for fleet management. By enabling granular, real-time updates to specific geoobjects via the secondary list, this patent drastically improves data accuracy and responsiveness.\n\nFrom a business perspective, the value and applications are significant. It promises enhanced reliability and efficiency for electronic toll collection systems, reducing disputes and administrative overheads. Beyond tolling, this technology has broad implications for advanced navigation, logistics, fleet management, and future autonomous driving systems, all of which demand hyper-accurate, real-time spatial data. The market opportunity lies in providing a foundational technology that makes connected vehicles smarter, safer, and more adaptable to dynamic environmental changes, ensuring robust and reliable location-based services.","layman_explanation":"### What Problem Does This Solve?\nImagine you're driving, and your car's navigation or tolling system relies on a map that's several months old. New roads have opened, toll prices have changed, or a temporary construction zone has popped up. Your car, using its old map, might tell you the wrong way, or worse, charge you an incorrect toll. This isn't just an inconvenience; for large logistics companies managing fleets, it translates into significant operational inefficiencies, lost time, and billing disputes. The core problem is the difficulty and delay in updating geographical data (geodata) on in-vehicle units, especially in a world where infrastructure and regulations are constantly evolving. Existing solutions often require large, infrequent software updates that are costly, time-consuming, and still leave a gap where data can become stale.\n\n### How Does It Work?\nThe patent **Onboard Unit and Method for Updating Geodata Therein** introduces a clever way for your car's internal unit (called an Onboard Unit or OBU) to keep its maps perfectly up-to-date. Think of the OBU's memory like a library with two types of books. There's the main, large collection of 'classic' books (the primary list of geoobjects) that rarely change. But then, there's a special 'new arrivals' section (the secondary list of geoobjects) that gets updated constantly with fresh information. This 'new arrivals' section can be written to dynamically, meaning new information can be pushed to it wirelessly, instantly. The really smart part is how the OBU's 'brain' (the processor) reads these books. When it needs information, it always checks the 'new arrivals' section *first*. If it finds the information there, it uses that, knowing it's the latest. If not, it then checks the main 'classic' collection. This ensures the OBU always has the most current data, whether it's for identifying a toll zone or understanding a road segment.\n\n### Why Does This Matter?\nThis innovation matters because it brings real-time accuracy and agility to vehicle-based services. For tolling authorities, it means fewer customer disputes over incorrect charges, leading to smoother operations and potentially higher revenue capture. For fleet managers, it translates into more efficient route planning and execution, as vehicles always have the most current information about roads, traffic, and restrictions. This directly impacts fuel efficiency, delivery times, and overall operational costs. Furthermore, this technology significantly enhances the reliability of navigation systems, improving the driving experience for everyone. In a broader sense, this approach is foundational for the future of connected and autonomous vehicles, which demand hyper-accurate and instantaneous geographical data to operate safely and efficiently. It reduces the need for costly, bandwidth-heavy full map updates, offering a more sustainable and scalable solution for managing vehicle intelligence.\n\n### What's Next?\nThe principles behind this patent could extend beyond tolling and basic navigation. Imagine real-time updates for parking availability, dynamic speed limits based on weather, or even personalized route suggestions considering temporary local events. This technology enables a more adaptive and intelligent ecosystem for smart cities, allowing infrastructure to communicate seamlessly with vehicles. As 5G networks become more prevalent, the speed and granularity of these dynamic updates will only increase, unlocking new possibilities for services that rely on precise, up-to-the-minute location data. For businesses, this means opportunities to develop new applications, enhance existing services, and solidify their position in the rapidly expanding market of intelligent transportation systems and smart mobility solutions.","technical_analysis":"The patent **Onboard Unit and Method for Updating Geodata Therein** (US-9852552) details a sophisticated onboard unit (OBU) and an associated method for robust and dynamic geodata management, primarily targeting electronic toll collection (ETC) systems. The technical ingenuity lies in its optimized memory architecture and intelligent data access protocol, which collectively address the limitations of static geodata in dynamic operational environments.\n\n**Technical Architecture:**\nThe OBU's architecture is built around a standard set of components enhanced by a novel memory subsystem:\n1.  **Satellite Navigation Receiver:** Provides continuous, high-precision position fixes (e.g., GPS, GLONASS, Galileo), forming the real-time input for geographical comparison.\n2.  **Radio Interface:** A bidirectional communication module (e.g., cellular, DSRC) for receiving geodata updates and transmitting generated toll data.\n3.  **Processor:** The central processing unit responsible for executing the core logic. It compares current position fixes with stored geoobjects, computes toll data, and manages the memory subsystem.\n4.  **Memory Subsystem:** This is the most critical component, structured into distinct regions:\n    *   **Index Memory Region:** Stores an index tree, which is a hierarchical data structure (e.g., B-tree, R-tree) optimizing the lookup and retrieval of geoobjects based on spatial coordinates or other attributes. This provides rapid access to relevant geographical data.\n    *   **First Static Object Memory Region:** Contains a 'primary list' of geoobjects. This list typically holds stable, infrequently changing geographical entities, forming the baseline map data.\n    *   **Second Object Memory Region:** This region is designed for a 'secondary list' of geoobjects. Crucially, it is dynamically writable via the radio interface, allowing for efficient, granular updates to specific geoobjects. This list is intended for temporary, frequently changing, or newly introduced geographical information.\n\n**Implementation Details and Algorithm Specifics:**\nThe core innovation is the processor's configuration for accessing geoobjects. When the processor needs to retrieve information about a geoobject (e.g., a toll segment, a road boundary), it first consults the index tree. If a leaf of the index tree contains a reference to a geoobject that exists in both the primary and secondary lists (or only in the secondary list), the processor is configured to **prioritize and use the secondary list's version of the geoobject before the primary list's version**. This 'secondary-first' access mechanism is key.\n\nThis prioritization enables real-time 'patching' or 'overriding' of the baseline geographical data. For instance, if a new toll rate is implemented for a specific road segment, an update packet containing this new geoobject definition is transmitted via the radio interface and written to the secondary list. The index tree is updated to reflect this new entry. When the vehicle enters that segment, the processor, via the index tree, will first encounter and utilize the updated information from the secondary list, ensuring accurate toll calculation. The method for updating geodata involves receiving these update packets, parsing their contents, and intelligently writing them into the secondary object memory region, potentially updating the index tree references.\n\n**Performance Characteristics:**\n*   **Efficiency:** By only transmitting and processing granular updates for the secondary list, the system significantly reduces bandwidth consumption and computational load compared to full map updates.\n*   **Responsiveness:** Dynamic changes are reflected almost instantaneously, providing near real-time accuracy for critical applications like tolling and navigation.\n*   **Scalability:** The index tree facilitates efficient lookup even with a large number of geoobjects, and the tiered memory approach allows for flexible management of both static and dynamic data at scale.\n*   **Robustness:** The primary list serves as a stable fallback, ensuring operational continuity even if dynamic updates are temporarily unavailable or corrupted.\n\n**Integration Patterns:**\nThis OBU could integrate with backend map providers and tolling authorities. Backend systems would generate targeted geoobject updates based on real-world changes and push them to OBUs via a secure, encrypted channel over the radio interface. The OBU would then seamlessly integrate these updates into its secondary memory, maintaining operational integrity. This architecture supports a publish-subscribe model for geodata updates, where OBUs subscribe to relevant geographical zones or data types.\n\n**Code-Level Implications:**\nDevelopers would need to implement robust data parsing and validation routines for incoming geoobject updates. The index tree management would require efficient insertion, deletion, and update algorithms. Memory management would involve careful handling of the primary and secondary list regions, potentially using pointers or memory-mapping techniques to ensure quick access and efficient utilization of storage. The processor's logic for geoobject comparison and toll data generation would need to be highly optimized for real-time performance, leveraging the prioritized access to the secondary list for decision-making.","business_analysis":"The patent **Onboard Unit and Method for Updating Geodata Therein** (US-9852552) presents a significant business opportunity by addressing a fundamental challenge in intelligent transportation systems: the dynamic and accurate management of geographical data. While primarily described for electronic toll collection (ETC), the underlying innovation has far-reaching implications across various sectors reliant on real-time location-based services.\n\n**Market Opportunity Size:**\nThe global electronic toll collection market is projected to grow substantially, driven by smart city initiatives, increasing vehicle density, and the demand for efficient traffic management. This market, alongside the broader connected vehicle and logistics sectors, represents a multi-billion dollar opportunity. Inaccurate geodata leads to billions in lost revenue, administrative costs from disputes, and inefficiencies. This patent targets a critical pain point within this massive market, offering a solution that enhances accuracy and operational efficiency. The need for real-time, granular map updates will only intensify with the advent of autonomous vehicles, creating an even larger addressable market for this foundational technology.\n\n**Competitive Advantages:**\nThis innovation offers several distinct competitive advantages:\n1.  **Superior Accuracy & Responsiveness:** By prioritizing dynamically updated geodata, the system virtually eliminates the lag associated with traditional map updates. This leads to more accurate tolling, better navigation, and more reliable location-based services than competitors relying on static or infrequently updated maps.\n2.  **Reduced Operational Costs:** Granular updates (only sending changed geoobjects) drastically reduce data transmission bandwidth and OBU processing power requirements compared to full map reinstalls. This translates to lower operational costs for network providers, tolling authorities, and fleet operators.\n3.  **Enhanced User Experience:** Drivers benefit from fewer incorrect toll charges and more accurate navigation, improving satisfaction and trust in ETC systems and connected vehicle services.\n4.  **Future-Proofing:** The architecture is inherently suited for future demands of autonomous driving and hyper-localized services, where instantaneous and precise environmental data is paramount.\n5.  **Scalability:** The tiered memory and index tree approach allow for efficient management of vast amounts of geographical data and a large fleet of vehicles, making it a scalable solution for national or even international deployment.\n\n**Revenue Potential and Business Models:**\nRevenue generation could come from several avenues:\n*   **Licensing:** OBU manufacturers and ITS solution providers could license this patented technology for integration into their products.\n*   **Subscription Services:** Tolling authorities or map providers could offer 'dynamic geodata update' subscriptions to OBU users, providing real-time data feeds enabled by this system.\n*   **Hardware Sales:** Companies could develop and sell OBUs incorporating this technology directly.\n*   **Value-Added Services:** Leveraging the real-time data capabilities, new services could emerge, such as dynamic route optimization for logistics, real-time parking availability, or enhanced safety alerts based on temporary road conditions.\n\n**Strategic Positioning:**\nCompanies adopting this technology can strategically position themselves as leaders in 'real-time intelligent transportation' or 'dynamic location services.' This patent allows for differentiation from competitors using legacy, static map update methodologies. It enables a proactive approach to managing dynamic environments, critical for maintaining competitive edge in fast-evolving sectors like smart mobility and logistics.\n\n**ROI Projections:**\nInvesting in or licensing this technology promises significant ROI through:\n*   **Reduced Disputes:** Lower administrative costs for handling incorrect toll charges.\n*   **Optimized Operations:** More efficient vehicle routing and resource allocation for fleet managers.\n*   **Increased Revenue Capture:** Accurate tolling ensures all legitimate charges are collected.\n*   **Customer Loyalty:** Improved accuracy and user experience lead to higher customer retention.\n*   **Future Market Share:** Early adoption positions companies to capture significant market share in emerging autonomous vehicle and smart city ecosystems. The ability to quickly adapt to infrastructure changes and policy shifts provides a strong foundation for long-term growth and profitability.","faqs":[{"answer":"The **Onboard Unit and Method for Updating Geodata Therein** (US-9852552) is a patented invention describing an advanced system for managing and updating geographical data within a vehicle's onboard unit (OBU). It is primarily designed for applications like electronic toll collection (ETC) but has broader implications for navigation and other location-based services.\n\nAt its core, this innovation introduces a unique memory architecture within the OBU. This memory is structured to efficiently store both static, foundational geographical information (a 'primary list' of geoobjects) and dynamic, frequently changing data (a 'secondary list' of geoobjects) that can be updated wirelessly.\n\nThe key differentiator of this system is how its processor accesses this data: it is configured to prioritize and use the dynamically updated secondary list before consulting the static primary list. This ensures that the OBU always operates with the most current and relevant geographical information, enabling real-time accuracy for critical functions.","question":"What is Onboard Unit and Method for Updating Geodata Therein?"},{"answer":"The **Onboard Unit and Method for Updating Geodata Therein** works through a clever combination of hardware and software logic.\n\nFirst, the onboard unit (OBU) has a satellite navigation receiver that continuously determines the vehicle's precise location. This location data is fed to a processor. The OBU also has a radio interface for receiving information wirelessly.\n\nSecond, the OBU's memory is specially designed. It contains an 'index tree' for quickly finding geographical objects (geoobjects), a 'primary list' for stable, unchanging geoobjects (like permanent roads), and a 'secondary list' for dynamic geoobjects (like temporary construction zones or changing toll prices). Crucially, this secondary list can be updated wirelessly via the radio interface.\n\nThird, and most innovatively, when the processor needs to compare the vehicle's position with a geoobject (e.g., to calculate a toll), it is programmed to check the 'secondary list' *first*. If it finds the geoobject there, it uses that up-to-date information. If not, it then checks the 'primary list'. This ensures that any new or changed information is immediately prioritized and used, providing real-time accuracy for the vehicle's operations.","question":"How does Onboard Unit and Method for Updating Geodata Therein work?"},{"answer":"The **Onboard Unit and Method for Updating Geodata Therein** primarily solves the pervasive problem of **outdated geographical data** in vehicle-mounted systems.\n\nIn conventional systems, map updates are often large, infrequent, and resource-intensive. This leads to a significant 'lag' between real-world changes (new roads, dynamic toll rates, temporary closures) and the information available to the vehicle. This outdated data causes numerous issues: incorrect toll charges, inaccurate navigation, operational inefficiencies for fleet management, and increased administrative burden from customer disputes.\n\nBy enabling granular, real-time updates to specific geoobjects and prioritizing this dynamic information, this innovation ensures that vehicles always operate with the most current geographical context. This eliminates the 'data lag,' leading to greater accuracy, efficiency, and reliability across all location-based services.","question":"What problem does Onboard Unit and Method for Updating Geodata Therein solve?"},{"answer":"The patent **Onboard Unit and Method for Updating Geodata Therein** (US-9852552) was filed by an undisclosed assignee. The patent document does not list specific inventors. This is not uncommon, as patents are often assigned to the company or organization that employs the inventors, and sometimes the inventor names are not publicly disclosed in all patent database entries.\n\nRegardless of the specific individuals, the invention represents a significant advancement in the field of intelligent transportation systems and dynamic geodata management. Its innovative approach to memory architecture and data prioritization addresses a critical need in connected vehicle technology. The focus remains on the technical merits and practical applications of the innovation itself rather than individual inventors.","question":"Who invented Onboard Unit and Method for Updating Geodata Therein?"},{"answer":"The **Onboard Unit and Method for Updating Geodata Therein** offers several key benefits that enhance the performance and reliability of vehicle-based systems:\n\n1.  **Real-time Accuracy:** By prioritizing dynamically updated geodata, the system ensures that toll calculations, navigation, and other location-based services are always based on the most current information, virtually eliminating errors due to outdated maps.\n2.  **Operational Efficiency:** The ability to send small, targeted updates instead of large, full map downloads drastically reduces data transmission bandwidth and the processing load on the onboard unit. This translates to lower operational costs for network providers and service operators.\n3.  **Enhanced Responsiveness:** Changes in road networks, toll policies, or temporary conditions can be reflected almost instantaneously, allowing vehicles to adapt quickly to their environment.\n4.  **Improved User Experience:** Drivers benefit from fewer incorrect toll charges, more reliable navigation, and a smoother overall experience, leading to greater trust and satisfaction.\n5.  **Future-Proofing:** This technology provides a foundational capability for advanced connected vehicle applications, including autonomous driving, which demands hyper-accurate, low-latency geographical data for safe and efficient operation.","question":"What are the key benefits of Onboard Unit and Method for Updating Geodata Therein?"},{"answer":"The **Onboard Unit and Method for Updating Geodata Therein** differentiates itself significantly from prior art in its approach to managing and updating geographical data within onboard units.\n\nPrior art systems typically rely on full map replacements or basic incremental patching, which often involve large data transfers, significant processing overheads, and inherent latency. These methods struggle to keep pace with dynamic environmental changes, leading to outdated information and inefficiencies.\n\nThis innovation, however, introduces a unique tiered memory architecture (static primary list and dynamically writable secondary list) coupled with a 'secondary-first' data access protocol. This means that the system explicitly prioritizes and uses the most current, dynamically received data over older, static information. This allows for granular, real-time updates that are far more efficient in terms of bandwidth and processing, and dramatically more responsive to changes than previous methods. It fundamentally shifts from a reactive, bulk-update model to a proactive, real-time patching system.","question":"How is Onboard Unit and Method for Updating Geodata Therein different from prior art?"},{"answer":"The **Onboard Unit and Method for Updating Geodata Therein** has the potential to significantly impact several industries reliant on precise and timely geographical data:\n\n1.  **Electronic Tolling and Road Management:** Directly enhances the accuracy and efficiency of toll collection, reducing disputes and administrative costs for tolling authorities and service providers.\n2.  **Automotive and Navigation:** Improves the reliability of in-car navigation systems, providing real-time routing and enhancing the overall driving experience. It's crucial for next-generation vehicle infotainment and ADAS (Advanced Driver-Assistance Systems).\n3.  **Logistics and Fleet Management:** Enables more efficient route optimization, real-time tracking, and adaptive scheduling for delivery services, taxis, and public transportation, leading to significant cost savings and improved service.\n4.  **Smart Cities and Urban Planning:** Provides a foundational technology for intelligent traffic management, dynamic parking solutions, and other smart city initiatives that require real-time interaction between infrastructure and vehicles.\n5.  **Autonomous Vehicles:** Offers a critical capability for self-driving cars, which demand hyper-accurate, low-latency environmental data to ensure safe and reliable operation in dynamic conditions.","question":"What industries will Onboard Unit and Method for Updating Geodata Therein impact?"},{"answer":"The patent for **Onboard Unit and Method for Updating Geodata Therein** (US-9852552) has the following key dates:\n\n*   **Filing Date:** The patent application was filed on **March 12, 2015**.\n*   **Publication Date:** The patent was published and granted on **December 26, 2017**.\n\nThese dates mark the official timeline for the patent's journey through the intellectual property system. The filing date establishes the priority date for the invention, while the publication date signifies when the patent became publicly available and legally enforceable. This timeline indicates that the innovation has been recognized and protected for several years, providing a solid foundation for its commercial development and integration into various applications within the intelligent transportation sector.","question":"When was Onboard Unit and Method for Updating Geodata Therein filed/granted?"},{"answer":"The commercial applications of the **Onboard Unit and Method for Updating Geodata Therein** are extensive, driven by its ability to provide dynamic, real-time geographical data updates:\n\n1.  **Enhanced Electronic Toll Collection (ETC) Systems:** This is the primary application, ensuring precise toll calculation, reducing billing errors, and improving customer satisfaction for tolling authorities and OBU providers.\n2.  **Advanced In-Vehicle Navigation:** Companies developing navigation software and hardware can integrate this technology to offer superior, always-current routing, adapting to new roads, temporary closures, and dynamic traffic conditions.\n3.  **Fleet Management and Logistics Solutions:** Businesses managing vehicle fleets (delivery, taxi, public transport) can leverage real-time geodata for dynamic route optimization, improved dispatching, and enhanced operational efficiency, leading to cost savings and better service.\n4.  **Smart Parking Solutions:** Real-time updates on parking availability or temporary restrictions can be pushed to vehicles, improving urban mobility and reducing congestion.\n5.  **Autonomous Vehicle Platforms:** As a foundational technology, it can be licensed to autonomous vehicle developers to ensure their systems operate with the most accurate and current environmental maps, crucial for safety and reliability.\n6.  **Location-Based Services (LBS):** Any service requiring highly accurate, frequently updated location intelligence (e.g., geomarketing, asset tracking) can benefit from this innovation.","question":"What are the commercial applications of Onboard Unit and Method for Updating Geodata Therein?"},{"answer":"The **Onboard Unit and Method for Updating Geodata Therein** lays a robust foundation for numerous future developments in intelligent transportation and smart mobility:\n\n1.  **Integration with 5G and V2X Communication:** As 5G networks become widespread and Vehicle-to-Everything (V2X) communication matures, the speed and granularity of dynamic geodata updates will dramatically increase, unlocking even more sophisticated real-time applications.\n2.  **AI and Machine Learning Integration:** Future OBUs could incorporate AI to anticipate geoobject changes, predict optimal update schedules, or even personalize geodata feeds based on driver behavior and historical patterns.\n3.  **Support for High-Definition (HD) Maps:** The tiered memory architecture could be adapted to manage and update highly detailed HD maps required by Level 4/5 autonomous vehicles, providing real-time updates for lane-level precision.\n4.  **Enhanced Security and Blockchain:** Further developments in cybersecurity, potentially leveraging blockchain for immutable and verifiable geoobject updates, will ensure the integrity and trustworthiness of the dynamic data.\n5.  **Crowdsourced Geodata:** The system could evolve to not only receive updates but also to contribute anonymized, validated geo-observations from vehicles, creating a self-improving, dynamic mapping ecosystem.\n6.  **Broader Sensor Fusion:** Integration with other vehicle sensors (e.g., lidar, radar, cameras) could enable real-time validation of received geodata updates and enhance the OBU's environmental perception. These advancements will solidify the innovation's role as a cornerstone of fully intelligent and adaptive transportation systems.","question":"What are the future developments expected for Onboard Unit and Method for Updating Geodata Therein?"}],"topics":["onboard unit","geodata update","electronic tolling","dynamic mapping","satellite navigation","technical","onboard","method"],"tech_cluster":null},"seo":{"title":"Onboard Unit and Method for Updating Geodata Therein - Patent US-9852552","description":"Discover the Onboard Unit and Method for Updating Geodata Therein patent for dynamic, real-time geodata updates in vehicles. Enhances tolling accuracy & navigation.","keywords":["onboard unit","geodata update","electronic tolling","dynamic mapping","satellite navigation","real-time data","connected vehicles","ITS","smart mobility","patent US-9852552"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852552","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9852552","citation_suggestion":"Patentable. \"Onboard unit and method for updating geodata therein\" (US-9852552). https://patentable.app/patents/US-9852552","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852552","json":"https://patentable.app/api/llm-context/US-9852552","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T06:43:12.572Z"}