{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852709","patent":{"patent_number":"US-9852709","title":"Generating a map display image","assignee":null,"inventors":[],"filing_date":"2008-05-29T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G09G","G01C","G09B","G08G","G09G","G09G","G09G"],"num_claims":17,"abstract":"A method and apparatus are disclosed for generating a display image including a map view and linepiece information for example legible text and/or characters (e.g. alphanumeric) such as road names superposed on the map view. In at least one embodiment, the technique selects linepieces that are easy to read, by (i) selecting from a first subset of alphanumeric linepieces associated with information on the map, a second sub-set of the alphanumeric linepieces satisfying predetermined criteria including display angle; and (ii) including in the display image the second sub-set of alphanumeric linepieces. The first sub-set may be selected according to distance criteria."},"analysis":{"summary":"The patent **Generating a Map Display Image** (US-9852709) introduces a sophisticated method and apparatus designed to significantly enhance the legibility of textual information displayed on digital maps. At its core, this innovation tackles the pervasive problem of map clutter and unreadable labels, which often diminish the user experience and can even compromise safety in navigation applications.\n\nThe invention's primary objective is to generate a display image that seamlessly integrates a map view with 'linepiece' information—such as road names and other alphanumeric characters—in a manner that ensures optimal readability. It achieves this through a two-stage intelligent selection process.\n\nFirst, the system identifies a broad 'first subset' of alphanumeric linepieces associated with the map's underlying data. This initial selection can be refined based on various factors, including distance criteria, meaning only information relevant to the user's immediate vicinity or focus area might be considered.\n\nSecond, and critically, from this first subset, the technology then selects a 'second subset' of linepieces that satisfy specific, predetermined criteria focused on legibility. A key criterion highlighted in the patent is the 'display angle.' This ensures that labels are presented at an orientation that maximizes ease of reading, dynamically adjusting or omitting text that would otherwise appear twisted, overlapping, or difficult to discern. By prioritizing readability based on visual angle, the system ensures a clean, uncluttered, and highly intuitive map display.\n\nFrom a business perspective, this patent offers substantial value. It enables mapping and navigation companies to provide a superior user experience, leading to higher customer satisfaction and engagement. For industries reliant on precise geospatial data, such as logistics, autonomous vehicles, and urban planning, this innovation translates into improved operational efficiency, reduced errors, and enhanced safety. The market opportunity lies in licensing this technology to integrate into existing mapping platforms, automotive infotainment systems, and next-generation AR/VR navigation solutions, establishing a competitive advantage through unparalleled map clarity and user-friendliness.","layman_explanation":"### What Problem Does This Solve?\nImagine you're driving in a new city, trying to follow your GPS. The map on your screen is a jumble of street names, some overlapping, some twisted at odd angles, making it nearly impossible to quickly figure out where you need to turn. This isn't just an annoyance; it's a real problem that causes stress, delays, and can even be dangerous. Existing map technologies often try to show too much information at once, or they don't intelligently prioritize what's truly important and readable. The core business problem here is user frustration and inefficiency caused by 'information overload' on digital maps.\n\n### How Does It Work?\nThe patent, **Generating a Map Display Image**, solves this by acting like a smart editor for your map. Instead of just dumping all the street names and labels onto the screen, it uses a clever two-step process. First, it looks at all the possible labels (like every street name in the area) and filters them down to a relevant 'first subset'—for example, only showing streets within a certain distance of your current location or destination. Think of it like a newspaper editor deciding which stories are relevant for the front page.\n\nThen comes the really innovative part: from this relevant subset, it picks a 'second subset' that meets specific criteria for being easy to read. A crucial criterion is the 'display angle.' This means the system ensures that any street name it shows is oriented in a way that's simple for your eyes to process, avoiding awkward angles or overlaps. It's like a graphic designer ensuring every headline is perfectly aligned and legible, even on a complex layout. This isn't just about hiding unimportant information; it's about actively optimizing the *presentation* of important information so it's instantly understandable, making map interaction intuitive rather than frustrating.\n\n### Why Does This Matter?\nThis innovation matters because it fundamentally improves the user experience of digital maps, which are now integral to countless industries. For navigation app providers, it means higher user satisfaction, increased engagement, and a clear competitive advantage. For automotive manufacturers, integrating this technology into in-car systems enhances driver safety and reduces cognitive load, a key selling point for advanced vehicles. In logistics and delivery services, clearer maps translate directly into more efficient routes, fewer errors, and significant cost savings. The market opportunity is substantial, enabling companies to offer a premium, 'frictionless' mapping experience that can attract and retain customers, leading to improved market share and revenue growth. It's about moving from simply displaying data to intelligently communicating it.\n\n### What's Next?\nThe future applications of this technology are vast. Beyond current navigation systems, we can expect to see this innovation integrated into augmented reality (AR) applications, where digital information is overlaid onto the real world, requiring impeccable legibility. It could also enhance complex Geographic Information Systems (GIS) used in urban planning or emergency services, where clear data visualization is paramount. As autonomous vehicles become more prevalent, the ability to present crucial information clearly to human occupants will be even more critical. The market adoption timeline will likely accelerate as consumers increasingly demand intuitive and intelligent interfaces, making this a valuable investment for any company looking to lead in the geospatial technology space.","technical_analysis":"The patent **Generating a Map Display Image** (US-9852709) outlines a novel method and apparatus for enhancing the legibility and clarity of alphanumeric 'linepieces' (e.g., road names, labels) superposed on a digital map display. This technical analysis delves into the architectural considerations, algorithmic specifics, and performance implications of this invention.\n\n**Technical Architecture Overview:**\nThe core of this system can be conceptualized as a dynamic, context-aware rendering pipeline. It receives raw geospatial data, processes it through a multi-stage filtering and selection mechanism, and outputs an optimized display image. The key functional blocks would include:\n1.  **Geospatial Data Ingestion Module:** Responsible for consuming vector and raster map data, including associated metadata for linepieces (e.g., geographic coordinates, text strings, importance levels).\n2.  **Linepiece Identification & Pre-processing Unit:** Extracts all potential alphanumeric linepieces from the ingested data and prepares them for selection, potentially calculating initial attributes like bounding boxes, lengths, and default orientations.\n3.  **Contextual Awareness Module:** Gathers real-time user context such as current location, zoom level, display orientation (e.g., 2D top-down, 3D perspective), device screen size, and potentially user preferences.\n4.  **Two-Stage Selection Algorithm (Core Innovation):** This is where the patent's logic is primarily implemented.\n5.  **Dynamic Rendering Engine:** Takes the selected second subset of linepieces and renders them onto the map view, potentially applying transformations (rotation, scaling, translation) to achieve optimal display.\n\n**Algorithm Specifics - The Two-Stage Selection Process:**\nThe invention's strength lies in its intelligent, criteria-driven selection of linepieces:\n\n**Stage 1: First Subset Selection (Relevance Filtering)**\n*   The system begins by identifying a 'first subset' of alphanumeric linepieces. This stage primarily focuses on relevance rather than direct legibility.\n*   **Distance Criteria:** As per the abstract, this subset may be selected according to distance criteria. This implies a spatial query mechanism that selects all linepieces within a certain radius of the viewport center, the user's current location, or a designated point of interest. This significantly reduces the processing load for the subsequent, more computationally intensive legibility stage by discarding irrelevant distant labels.\n*   **Other Potential Criteria:** While not explicitly detailed, this stage could also incorporate other relevance factors like importance hierarchy (e.g., major highways over local streets), user-defined filters (e.g., show only restaurants), or data freshness.\n\n**Stage 2: Second Subset Selection (Legibility Optimization)**\n*   From the 'first subset,' the algorithm then selects a 'second subset' that satisfies 'predetermined criteria' for display legibility.\n*   **Display Angle:** This is the most crucial criterion highlighted. The algorithm would evaluate the effective angle at which a linepiece would be displayed relative to the user's perceptual axis. For instance, text running vertically or at extreme diagonal angles on a 2D map, or text heavily distorted by perspective in a 3D view, is difficult to read. The algorithm would:\n    *   **Candidate Generation:** For each linepiece in the first subset, generate one or more potential display configurations (e.g., different rotations, positions along a path, straightened versions).\n    *   **Angle Scoring:** Assign a 'legibility score' to each candidate configuration, heavily weighting configurations with optimal display angles (e.g., horizontal, slightly curved following a road, or perpendicular to the viewing direction).\n    *   **Collision Detection & Resolution:** Simultaneously, perform collision detection against other selected linepieces and underlying map features. A linepiece that satisfies optimal display angle but collides with another high-priority label might be rejected or its position adjusted.\n    *   **Prioritization:** If multiple linepieces or candidate configurations have similar legibility scores and/or collision potential, a predefined prioritization scheme (e.g., road class, traffic volume, user destination relevance) would break ties.\n*   **Other Potential Criteria:** This stage could also incorporate font size suitability for zoom level, contrast against background, minimal overlap percentage, and even dynamic text shortening if space is limited.\n\n**Implementation Details:**\n*   **Data Structures:** Efficient spatial indexing (e.g., R-trees, Quadtrees) for linepiece lookup and collision detection. Graph databases could manage linepiece relationships and hierarchies.\n*   **Rendering Techniques:** Vector graphics rendering for smooth scaling and rotation. Text rendering libraries capable of advanced font shaping and layout. Shader programming on GPUs could accelerate angle calculations and transformations.\n*   **Computational Efficiency:** Real-time performance is paramount. The two-stage approach inherently optimizes this by first pruning irrelevant data. The legibility scoring and collision detection must be highly optimized, potentially leveraging parallel processing or pre-computation for static elements.\n\n**Performance Characteristics:**\nThis approach offers significant performance advantages in terms of perceived user experience. While the algorithmic complexity of angle evaluation and collision resolution might be higher than naive rendering, the reduction in displayed clutter and improved readability translates directly to faster user comprehension and reduced cognitive load. The system aims for 'perceptual performance' rather than just raw rendering speed, ensuring that the *information* is conveyed effectively. It mitigates the need for users to manually zoom or pan to resolve legibility issues, saving precious interaction time.\n\n**Integration Patterns:**\nThis technology can be integrated into existing GIS platforms, automotive infotainment systems, mobile navigation applications, and even augmented reality (AR) systems. It would likely be exposed as a configurable rendering layer or an API within a larger mapping SDK. Developers could define custom criteria and prioritization rules. The modular nature of the two-stage selection allows for flexible integration, where existing data ingestion and rendering components can be reused while the core patented logic is plugged in.","business_analysis":"The patent **Generating a Map Display Image** (US-9852709) addresses a critical, yet often overlooked, challenge in digital mapping: the pervasive issue of information overload and illegible text on map displays. This innovation carries substantial commercial implications, offering significant competitive advantages and opening new revenue streams across various industries.\n\n**Market Opportunity Size:**\nThe global digital map market is immense and continues to grow, driven by the proliferation of smartphones, the rise of autonomous vehicles, and the increasing demand for location-based services (LBS) across logistics, retail, and tourism. Valued in the tens of billions of dollars, this market constantly seeks innovations that enhance user experience and operational efficiency. Solutions that directly improve fundamental map utility, like the one described in this patent, tap into a broad, receptive market hungry for superior clarity and reduced cognitive load.\n\n**Competitive Advantages:**\nThis patent provides a distinct competitive edge by enabling products to offer a visibly superior map experience. Current mapping solutions, even from industry leaders, often struggle with cluttered displays, especially in dense urban areas or when showing complex routes. The invention's ability to intelligently select and render linepieces (e.g., road names) based on criteria like 'display angle' and 'distance' ensures unparalleled legibility and clarity. This means:\n*   **Enhanced User Satisfaction:** A frustration-free map experience leads to higher user retention and positive word-of-mouth.\n*   **Differentiated Product Offering:** Companies integrating this technology can market 'crystal-clear navigation' or 'smart map readability' as unique selling propositions, standing out in a crowded market.\n*   **Improved Safety & Efficiency:** For automotive navigation and logistics, clearer maps translate directly into safer driving and more efficient operations, critical differentiators for B2B and B2C clients.\n\n**Revenue Potential and Business Models:**\nSeveral business models can leverage this innovation:\n1.  **Licensing to Mapping Providers:** Major players like Google, Apple, HERE, and TomTom could license this technology to enhance their core map products, improving their user base and competitive standing. This represents significant recurring revenue potential.\n2.  **Integration into Automotive Infotainment Systems:** OEMs can license the technology for their in-car navigation and ADAS displays, offering a premium user experience that justifies higher vehicle pricing or subscription services for advanced features.\n3.  **SDK/API for Developers:** Offering a Software Development Kit (SDK) or an API that allows third-party app developers (e.g., ride-sharing, delivery, travel apps) to integrate intelligent map labeling into their applications, potentially on a per-use or tiered subscription model.\n4.  **Specialized GIS Solutions:** Custom implementations for enterprise Geographic Information Systems (GIS) used in urban planning, utilities, and defense, where clarity of overlaid data is paramount.\n\n**Strategic Positioning:**\nCompanies adopting this patent can strategically position themselves as leaders in 'user-centric mapping' and 'perceptual optimization.' This moves beyond simply displaying data to intelligently *presenting* it in the most consumable format. It aligns with broader industry trends towards intuitive interfaces, reduced cognitive load, and augmented reality, where textual overlays must be seamlessly integrated and perfectly legible.\n\n**ROI Projections:**\nInvesting in this technology offers a strong return on investment. For consumer applications, improved UX translates into higher engagement rates, longer session times, and increased monetization opportunities (e.g., in-app purchases, ad views). For enterprise solutions, the ROI comes from increased operational efficiency, reduced errors, and enhanced decision-making capabilities. For example, a logistics company reducing delivery errors by even a small percentage due to clearer navigation can see substantial cost savings. The cost of licensing or developing this technology would be offset by gains in market share, customer satisfaction, and operational performance, with rapid adoption driven by its clear, tangible benefits.","faqs":[{"answer":"Generating a Map Display Image is a groundbreaking patent (US-9852709) that introduces an innovative method and apparatus for enhancing the legibility of textual information on digital map displays. At its core, this invention aims to solve the pervasive problem of map clutter and unreadable labels, which often make navigation frustrating and inefficient. It achieves this by intelligently selecting and positioning 'linepiece' information, such as road names and other alphanumeric characters, to ensure optimal clarity for the user.\n\nThe patent describes a sophisticated two-stage filtering process. First, it identifies a relevant subset of map labels based on criteria like distance from the user's current location or point of interest. Second, and crucially, from this relevant subset, it selects only those labels that can be displayed in an easy-to-read manner, primarily by considering their 'display angle.' This ensures that text is presented at an orientation that maximizes readability, dynamically adjusting or omitting labels that would otherwise appear twisted, overlapping, or difficult to discern.\n\nThis technology moves beyond traditional map rendering techniques that often prioritize simply avoiding geometric overlaps, instead focusing on human perceptual legibility. The result is a map display that is not only informative but also highly intuitive, clean, and user-friendly, setting a new standard for how digital geospatial data is presented.","question":"What is Generating a Map Display Image?"},{"answer":"The **Generating a Map Display Image** patent works through an intelligent, two-stage selection and optimization process for alphanumeric 'linepieces' (textual information like road names) on a map display.\n\nFirst, the system identifies an initial 'first subset' of all potential linepieces associated with the map. This stage often incorporates **distance criteria**, meaning it filters out irrelevant labels that are too far away from the user's current view or intended path. This significantly reduces the amount of data that needs further processing, focusing on relevance.\n\nSecond, from this 'first subset,' the invention then meticulously selects a 'second subset' of linepieces that satisfy **predetermined criteria** for optimal legibility. A key criterion explicitly mentioned is the **display angle**. This means the system evaluates how a particular road name or label would appear on the screen in terms of its orientation. If a label would be twisted, highly curved, or at an awkward angle making it difficult to read, the system will either dynamically adjust its position, rotate it to a more horizontal or perceptually optimal angle, or even temporarily remove it if it cannot be made legible without causing clutter. This ensures that every piece of displayed text is presented in the easiest-to-understand way, drastically improving map clarity and user experience.","question":"How does Generating a Map Display Image work?"},{"answer":"The **Generating a Map Display Image** patent primarily solves the pervasive problem of **information overload and illegibility on digital map displays**. In today's highly detailed maps, users are frequently confronted with a chaotic jumble of overlapping street names, points of interest, and other alphanumeric labels. This visual clutter leads to several critical issues:\n\n1.  **User Frustration and Cognitive Load:** Users spend more time and mental effort trying to decipher the map, leading to a frustrating experience and reduced satisfaction.\n2.  **Reduced Efficiency:** In navigation, logistics, and other time-sensitive applications, difficulty in quickly reading map information can lead to missed turns, delays, and operational inefficiencies.\n3.  **Safety Concerns:** For drivers, a cluttered and unreadable map can be a dangerous distraction, diverting attention from the road and increasing the risk of accidents.\n\nTraditional map rendering methods often fail to address these issues effectively, focusing more on preventing geometric overlaps rather than optimizing for actual human readability. This invention directly tackles these challenges by intelligently curating and optimizing the presentation of textual information, ensuring that critical details are always clear, concise, and easy to understand, thereby transforming a source of friction into a seamless, intuitive interaction.","question":"What problem does Generating a Map Display Image solve?"},{"answer":"The patent **Generating a Map Display Image** (US-9852709) lists no specific inventors or assignee in the provided data. This can sometimes occur if the patent information is being pulled from an incomplete database or if the patent was assigned immediately upon filing without the individual inventors being publicly associated in all initial data snapshots. Typically, patent applications will list the individual inventors who contributed to the conception of the invention, and the assignee would be the company or entity that owns the rights to the patent.\n\nHowever, the core innovation described in this patent—the intelligent selection and display of legible map text based on criteria like display angle and distance—represents a significant advancement in the field of geospatial rendering and human-computer interaction. The collective expertise required for such an invention would typically stem from professionals in computer graphics, GIS development, software engineering, and user experience design, likely within an organization focused on mapping or navigation technologies. While the individuals are not named here, their contribution to solving a long-standing problem in digital mapping is evident in the patent's detailed methodology.","question":"Who invented Generating a Map Display Image?"},{"answer":"The **Generating a Map Display Image** patent offers several transformative benefits that enhance the utility and user experience of digital maps:\n\n1.  **Superior Readability and Clarity:** The primary benefit is the dramatic improvement in the legibility of map text. By intelligently selecting and optimizing 'linepieces' based on criteria like display angle, the invention ensures that road names and other labels are always clear, easy to read, and free from clutter.\n2.  **Enhanced User Experience (UX):** A clear, intuitive map reduces user frustration and cognitive load. This leads to higher user satisfaction, increased engagement with mapping applications, and a more seamless navigation experience.\n3.  **Improved Safety:** For automotive navigation, clearer maps mean drivers can process information faster and with less distraction, contributing to safer driving conditions and reducing the risk of missed turns or accidents.\n4.  **Increased Efficiency:** In applications like logistics, delivery services, or emergency response, unambiguous map information can streamline operations, reduce errors, and improve overall efficiency.\n5.  **Competitive Differentiation:** Companies integrating this technology can offer a visibly superior product, standing out in a crowded market by providing a truly user-centric and advanced mapping solution. This creates a strong competitive advantage and can drive market share.\n6.  **Broader Application Potential:** The principles of this innovation are applicable across various fields, including augmented reality (AR) navigation, sophisticated GIS platforms, and human-machine interfaces for autonomous vehicles, where legible text overlays are critical.","question":"What are the key benefits of Generating a Map Display Image?"},{"answer":"The **Generating a Map Display Image** patent significantly differentiates itself from prior art in map labeling and rendering by shifting focus from mere geometric collision avoidance to active **perceptual legibility optimization**.\n\nPrior art typically employed methods like:\n1.  **Simple Collision Detection:** Hiding labels that overlap other labels or map features, often leading to a sparse map where critical information is missing.\n2.  **Static Prioritization:** Assigning fixed importance levels to labels, meaning a less 'important' label would always be hidden in a conflict, regardless of its relevance to the user's immediate context.\n3.  **Basic Shifting/Curving:** Attempting minor adjustments to label positions or curving text along paths, but without guaranteeing that the adjusted text would actually be readable.\n\nThis invention, however, introduces two key differentiators:\n1.  **Intelligent Relevance Filtering with Distance Criteria:** It first filters a broad set of labels to a 'first subset' based on relevance, such as 'distance criteria.' This ensures that the system only processes information pertinent to the user's current view, which is more dynamic and user-centric than static prioritization.\n2.  **Legibility Optimization based on Display Angle:** Crucially, it then selects a 'second subset' that satisfies 'predetermined criteria,' with a paramount focus on the 'display angle.' This means the system actively evaluates if a label, in its proposed display configuration, is *easy for a human to read*, and dynamically adjusts or omits it if not. This goes far beyond simply avoiding overlaps; it's about ensuring clarity and ease of comprehension, a level of sophistication largely absent in previous mapping technologies. This active optimization for human perception is what truly sets **Generating a Map Display Image** apart.","question":"How is Generating a Map Display Image different from prior art?"},{"answer":"The **Generating a Map Display Image** patent is poised to have a transformative impact across a wide array of industries that rely heavily on digital mapping and location-based services. Its ability to deliver crystal-clear, legible map information addresses a universal need for better visual communication.\n\nKey industries that will be significantly impacted include:\n1.  **Automotive and Navigation:** This includes in-car infotainment systems, advanced driver-assistance systems (ADAS), and standalone navigation apps (e.g., Google Maps, Apple Maps, Waze). The innovation will lead to safer driving, reduced driver distraction, and a more intuitive user experience.\n2.  **Logistics and Transportation:** Delivery services, fleet management, and public transportation will benefit from clearer route information, leading to increased efficiency, reduced errors, and optimized operational costs.\n3.  **Geographic Information Systems (GIS):** Professionals in urban planning, environmental monitoring, resource management, and defense who use complex GIS platforms will gain from more legible overlay data, improving analysis and decision-making.\n4.  **Augmented Reality (AR) and Virtual Reality (VR):** As AR/VR applications for navigation and spatial computing become more prevalent, the ability to seamlessly overlay legible textual information onto real-world or virtual environments will be critical, and this patent provides a foundational technology.\n5.  **Travel and Tourism:** Apps and platforms for exploring new destinations will offer a superior user experience, making it easier for travelers to navigate and identify points of interest.\n6.  **Emergency Services:** First responders can benefit from clearer maps in critical situations, enhancing situational awareness and response times.\n\nEssentially, any sector that leverages digital maps for information, decision-making, or user interaction stands to gain from the enhanced clarity and user-friendliness provided by **Generating a Map Display Image**.","question":"What industries will Generating a Map Display Image impact?"},{"answer":"The patent **Generating a Map Display Image** (US-9852709) has a distinct timeline for its official filings and publication:\n\n*   **Filing Date:** The initial application for this patent was filed on **2008-05-29**. This date marks when the inventors submitted their detailed description of the invention to the patent office, officially beginning the examination process.\n*   **Publication Date:** The patent was subsequently published (granted) on **2017-12-26**. This is the date when the U.S. Patent and Trademark Office (USPTO) officially issued the patent, making its full details publicly available and granting the patent holder exclusive rights to the invention for a specified period.\n\nThe significant period between the filing and publication dates (over nine years) is not uncommon for complex software and method patents, reflecting the rigorous examination process, potential amendments, and appeals that can occur during patent prosecution. The publication date signifies the successful culmination of this process, recognizing the novelty and non-obviousness of the methods described in **Generating a Map Display Image** for optimizing map display clarity.","question":"When was Generating a Map Display Image filed/granted?"},{"answer":"The commercial applications for the **Generating a Map Display Image** patent are extensive and diverse, given its ability to fundamentally improve how textual information is presented on any digital map. This core innovation can be integrated into a wide range of products and services, creating significant market value.\n\nKey commercial applications include:\n1.  **Consumer Navigation Apps:** Integration into popular mapping applications like Google Maps, Apple Maps, Waze, and dedicated GPS devices to provide a superior, less cluttered, and more intuitive user experience, driving higher engagement and user satisfaction.\n2.  **Automotive Infotainment and ADAS:** Licensing to car manufacturers for their in-dash navigation systems and advanced driver-assistance systems, enhancing driver safety and reducing cognitive load. This can be a premium feature for new vehicle models.\n3.  **Ride-Sharing and Delivery Platforms:** Companies like Uber, Lyft, DoorDash, and FedEx can integrate this technology into their driver apps to provide clearer route guidance, minimize errors, and improve efficiency for their vast networks of drivers.\n4.  **Logistics and Fleet Management Software:** Enterprise solutions for tracking and managing vehicle fleets can leverage this patent to offer dispatchers and drivers clearer, more actionable map data, optimizing routes and operational costs.\n5.  **Augmented Reality (AR) Applications:** For AR navigation (e.g., in smart glasses or heads-up displays) or industrial AR tools that overlay digital information onto the real world, legible and context-aware text is crucial for seamless interaction.\n6.  **Urban Planning and Smart City Dashboards:** GIS platforms used by municipalities and urban planners can display complex data overlays (e.g., zoning, utilities, traffic flow) with unprecedented clarity, leading to better analysis and decision-making.\n7.  **Travel and Tourism Apps:** Mobile apps and interactive kiosks for tourists can provide clearer maps for exploration, highlighting points of interest and local information with enhanced readability. The commercial value of **Generating a Map Display Image** lies in its universal appeal to make any map-based interaction more efficient, safer, and user-friendly.","question":"What are the commercial applications of Generating a Map Display Image?"},{"answer":"The **Generating a Map Display Image** patent lays a robust foundation for numerous exciting future developments in digital mapping and human-computer interaction. The core principles of intelligent text selection and legibility optimization can be expanded and refined in several ways:\n\n1.  **Hyper-Personalized Readability:** Future iterations could incorporate individual user profiles, adapting text size, contrast, and even font styles based on user preferences, visual acuity, or even real-time eye-tracking data. This would move beyond 'predetermined criteria' to truly dynamic, user-specific optimization.\n2.  **Adaptive Environmental Context:** The system could evolve to factor in environmental conditions, such as adjusting text brightness or contrast for varying ambient light (e.g., bright sunlight, night driving), or altering display angle optimization based on vehicle speed or road type.\n3.  **Integration with Machine Learning (ML):** ML models could be trained on vast datasets of user interaction and legibility feedback to continuously refine the selection criteria and prioritization rules. This would allow the system to 'learn' optimal display strategies over time, becoming even more intuitive.\n4.  **Multilingual and Multi-Script Optimization:** Extending the 'display angle' and legibility criteria to effectively handle diverse writing systems (e.g., vertical scripts, bidirectional text) and multiple languages simultaneously on a single map, ensuring global accessibility and clarity.\n5.  **Seamless Augmented Reality (AR) Integration:** The patent's principles are critical for future AR navigation systems, where digital text needs to be seamlessly and legibly overlaid onto the real world (e.g., on a car's windshield, through smart glasses). Future developments will focus on real-time 3D spatial awareness and dynamic occlusion handling for text.\n6.  **Predictive Information Display:** Anticipating user needs and movements to proactively optimize and display relevant information before it's explicitly requested or becomes immediately critical, further enhancing efficiency and safety. These developments will push **Generating a Map Display Image** beyond static rules to a truly intelligent, adaptive, and predictive mapping experience.","question":"What are the future developments expected for Generating a Map Display Image?"}],"topics":["Generating a Map Display Image","map display optimization","map text legibility","navigation patent","geospatial rendering","challenge","rendering","legible"],"tech_cluster":null},"seo":{"title":"Generating a Map Display Image - Patent US-9852709","description":"Discover the 'Generating a Map Display Image' patent, optimizing map text legibility by selecting labels based on display angle and distance criteria. Enhances user experience & navigation.","keywords":["Generating a Map Display Image","map display optimization","map text legibility","navigation patent","geospatial rendering","display angle text","map clutter solution","patent US-9852709","alphanumeric linepieces","user experience mapping","dynamic map labels","road name display"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852709","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-9852709","citation_suggestion":"Patentable. \"Generating a map display image\" (US-9852709). https://patentable.app/patents/US-9852709","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852709","json":"https://patentable.app/api/llm-context/US-9852709","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T10:33:14.632Z"}