{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852547","patent":{"patent_number":"US-9852547","title":"Path visualization for augmented reality display device based on received data and probabilistic analysis","assignee":null,"inventors":[],"filing_date":"2015-03-23T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G06T","G01C","G01C","G06F","G06F","G06Q","G01C"],"num_claims":15,"abstract":"A computing device receives data regarding a destination, a current GPS location, map data of the current location and destination, and a direction and angle of view of an augmented reality display device. The computing device accesses social media content related to an area that includes the location and the destination, and analyzes the content to determine recent conditions and attributes associated with the location and destination area. The computing device determines a path from the location to the destination based on the map data, the current location and destination, and the social media content. The computing device sends information to display a virtual image of the path overlaid on a real-world view of the augmented reality display device, based on the direction of view and the incline level of view, of the augmented reality display device."},"analysis":{"summary":"The \"Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis\" patent introduces a sophisticated augmented reality (AR) navigation system that significantly enhances traditional pathfinding by incorporating real-time, context-aware intelligence. The core innovation lies in a computing device's ability to fuse multiple data streams: current GPS location, a specified destination, comprehensive map data, and crucially, live social media content related to the area.\n\nThe system addresses the common limitations of static navigation by performing a probabilistic analysis on the accessed social media content. This allows it to dynamically determine recent conditions and attributes associated with a location or destination area, such as unexpected crowds, temporary closures, or local events that might impact a user's journey. This goes beyond simple traffic data, providing nuanced, hyper-local insights.\n\nBased on this integrated and analyzed data, the computing device determines an optimal path. This path is not merely the shortest distance but the most intelligent route given the real-time environmental context. The determined path is then seamlessly visualized for the user: information is sent to an AR display device to project a virtual image of the path, overlaid directly onto the real-world view. A key technical aspect is the system's ability to adapt this virtual overlay dynamically, based on the AR device's current direction and angle of view.\n\nThis technology offers substantial business value by improving efficiency, safety, and user experience across various sectors. Applications range from smarter urban navigation and last-mile logistics optimization to enhanced tourism and emergency response. It creates a significant market opportunity in the growing AR space by providing a truly intelligent, adaptive, and immersive navigational solution that leverages the vast, often untapped, real-time data from social media. It moves AR beyond simple overlays to truly contextual and predictive guidance.","layman_explanation":"### What Problem Does This Solve?\nImagine you're trying to get across a bustling city, and your usual map app tells you to go down a certain street. But what if, unknown to the app, there's a sudden parade, a major street repair, or an impromptu market that has made that street impassable or extremely congested? Traditional navigation systems rely on static maps and, at best, general traffic data, which often miss these hyper-local, transient, and human-driven events. This leads to frustration, wasted time, and inefficient journeys. The core problem this patent, \"Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis,\" aims to solve is providing truly adaptive, real-time guidance that understands the dynamic 'pulse' of an environment, not just its static layout.\n\n### How Does It Work?\nThis innovation can be thought of as a 'smart' layer over your existing reality. At its heart is a computing device that acts like an intelligent information hub. First, it gathers your basic navigational needs: where you are (GPS), where you want to go (destination), and the general layout of the area (map data). But here's the game-changer: it also taps into the wealth of real-time public information available on social media. Think of it sifting through tweets, posts, and updates related to your immediate vicinity and your destination area. If people are posting about a sudden road closure, a huge line at a popular attraction, or a local event causing detours, the system 'hears' it.\n\nIt then performs a 'probabilistic analysis' – essentially, it weighs the likelihood of these reported conditions being true and significant. Based on this, it calculates the *best* path, which might not be the shortest, but the most efficient or pleasant given the real-time context. Finally, instead of just showing you a map on a screen, it projects a virtual image of this optimal path directly onto your view through an augmented reality (AR) display device, like smart glasses or an AR-enabled phone. This virtual path is seamlessly overlaid on the real world, and it dynamically adjusts as you turn your head or change your viewing angle, providing intuitive, 'heads-up' guidance without distracting you from your surroundings.\n\n### Why Does This Matter?\nThis patent matters because it moves navigation from a static, reactive process to a dynamic, proactive one. For businesses, this translates into significant operational efficiencies: logistics companies can optimize delivery routes to avoid unexpected bottlenecks, reducing fuel costs and delivery times. Urban planners can gain real-time insights into city flow and adapt infrastructure or event planning. For the retail and hospitality sectors, it can guide customers to businesses while avoiding crowded areas or highlighting current promotions mentioned online. The ability to leverage the collective intelligence of social media for practical, real-world guidance offers a powerful competitive advantage and opens up new service models.\n\n### What's Next?\nThis technology paves the way for a new generation of truly intelligent AR applications, extending beyond simple navigation. We could see personalized urban experiences, where your AR guide curates routes based on your preferences and live social sentiment. It could be integrated into smart city infrastructure for dynamic crowd management or emergency response. The market adoption timeline will depend on the proliferation of AR hardware, but the underlying data processing and visualization concepts are immediately applicable. For investors, this represents an opportunity in a burgeoning market segment, offering solutions that enhance safety, efficiency, and user engagement, promising strong ROI as AR becomes mainstream.","technical_analysis":"The \"Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis\" patent details a robust technical framework for advanced augmented reality (AR) navigation. At its architectural core is a computing device designed for multi-modal data ingestion and intelligent processing. This device receives foundational geospatial data, including the user's current GPS location, a designated destination, and comprehensive map data relevant to the traversed area. This forms the static and semi-dynamic baseline for pathfinding.\n\nThe critical technical innovation lies in the integration and analysis of real-time social media content. The computing device is configured to access public or permitted social media feeds that are geographically relevant to the area spanning the user's location and destination. This access mechanism would likely involve secure API integrations with various social media platforms, coupled with geo-fencing or location-based querying to filter relevant content. Following ingestion, the system employs advanced Natural Language Processing (NLP) and machine learning (ML) techniques to parse this unstructured social media data. The goal is to extract meaningful semantic entities, events, sentiments, and attributes that describe recent conditions (e.g., 'heavy foot traffic,' 'street festival,' 'construction detour,' 'local protest') or characteristics (e.g., 'vibrant,' 'quiet,' 'safe') associated with specific points or segments of the map.\n\nSubsequent to data extraction, the system performs a probabilistic analysis. This involves assigning confidence scores or probabilities to the identified conditions and attributes based on factors such as the frequency of mentions, recency of posts, source credibility (if discernible), and geographical specificity. For instance, multiple, recent mentions of 'crowded' on a particular street segment would yield a high probability of congestion. This probabilistic model is then integrated with the deterministic map data and GPS information. Path determination algorithms, likely advanced variants of graph traversal (e.g., A* or Dijkstra's with dynamic edge weights), are employed. Unlike traditional algorithms that use fixed weights, this system dynamically adjusts edge weights (representing travel time, safety, convenience) based on the real-time probabilistic conditions derived from social media. This allows the system to compute an 'optimal' path that is not just shortest in distance but most desirable given the current, dynamically evolving environmental context.\n\nFor visualization, the computing device generates and transmits information to an AR display device. This data payload includes the determined path's spatial coordinates and rendering instructions. The AR display device, equipped with its own sensor suite (IMUs, cameras), performs real-time pose estimation and spatial mapping to accurately anchor the virtual path within the user's real-world view. A key performance characteristic is the low-latency adjustment of the virtual image based on the AR device's direction and angle of view. This requires highly optimized rendering pipelines and robust sensor fusion algorithms to ensure the virtual path remains stable, perceptually aligned, and responsive to user head movements and body orientation, maintaining an immersive and intuitive guidance experience. The overall system demands significant computational resources, potentially leveraging edge computing or cloud-based processing for the intensive data analysis and probabilistic modeling components.","business_analysis":"The \"Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis\" patent presents a compelling business proposition within the rapidly expanding augmented reality (AR) and smart navigation markets. This innovation addresses a critical gap in current navigational tools: the inability to provide truly dynamic, context-aware guidance that adapts to real-time, hyper-local environmental conditions. This capability unlocks significant market opportunities and competitive advantages across numerous sectors.\n\n**Market Opportunity Size:** The global AR market is projected to reach hundreds of billions of dollars within the next decade, with navigation and location-based services being key growth drivers. Traditional navigation apps, while ubiquitous, face limitations in urban density and unpredictable environments. This patent positions itself to capture a significant share of the premium segment requiring intelligent, real-time contextual guidance. Target markets include smart city initiatives, last-mile logistics, tourism and hospitality, enterprise field services, and consumer AR wearables. The value proposition of reducing delays, improving safety, and enhancing user experience creates a large addressable market.\n\n**Competitive Advantages:** The primary competitive advantage of this invention lies in its unique data fusion and probabilistic analysis approach. While competitors offer AR overlays or real-time traffic, none comprehensively integrate and probabilistically analyze social media content for nuanced environmental conditions. This provides a 'live pulse' of an area that goes beyond sensor data, offering a richer, more human-centric understanding of pathways. This differentiation can lead to superior path optimization, fewer user frustrations, and a more reliable navigation experience, creating a strong moat against existing solutions.\n\n**Revenue Potential and Business Models:** Revenue streams could be diverse. Licensing the technology to AR hardware manufacturers, automotive companies for in-car AR navigation, or smart city developers is a clear path. A 'Navigation as a Service' (NaaS) model, offering premium subscriptions to consumers or enterprise users for advanced contextual routing, is another. Data monetization, by providing anonymized, aggregated insights into urban dynamics derived from the probabilistic analysis, could also be explored for urban planning or retail analytics. Strategic partnerships with social media platforms, mapping providers, and AR SDK developers would be crucial for market penetration.\n\n**Strategic Positioning:** This patent positions its holder as a leader in intelligent AR and contextual computing. It moves beyond basic AR overlays to a truly 'smart' AR, capable of understanding and reacting to the human element of an environment. This strategic advantage allows for the development of superior products and services that deliver tangible benefits: increased efficiency for logistics, enhanced safety for pedestrians, and richer experiences for tourists. It also enables proactive problem-solving for urban challenges.\n\n**ROI Projections:** The return on investment for businesses adopting this technology could be substantial. For logistics companies, optimized routes mean reduced fuel costs, faster delivery times, and higher customer satisfaction. For smart cities, it translates to improved urban flow, reduced congestion, and enhanced public safety. For consumers, it offers a premium, stress-free navigation experience, justifying subscription models. The ability to leverage real-time, unstructured data for actionable insights has immense value, promising significant ROI through operational efficiencies, new service offerings, and improved user engagement.","faqs":[{"answer":"The Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis is a groundbreaking patent (US-9852547) that describes an advanced augmented reality (AR) navigation system. Its core innovation lies in its ability to combine traditional navigational data, such as GPS location and map data, with real-time analysis of social media content. This fusion allows a computing device to understand recent conditions and attributes of an area, like unexpected crowds or temporary closures, that are often missed by conventional mapping solutions. \n\nThe system then uses this comprehensive data to determine an optimal path, which is subsequently displayed as a virtual image overlaid onto the user's real-world view via an AR device. This virtual path dynamically adjusts based on the user's direction and angle of view, providing intuitive and context-aware guidance. It essentially creates a 'smart' layer over reality, making navigation more efficient and informed.\n\nThis technology moves beyond simple static map overlays, offering a dynamic and responsive navigational experience. It leverages the vast, real-time insights available through public social media to provide a richer, more human-centric understanding of an environment. The patent's focus on probabilistic analysis ensures that the system makes intelligent, data-driven decisions about the best route to take, considering the ever-changing nature of urban and outdoor spaces. Keywords: augmented reality navigation, real-time pathfinding, social media data, probabilistic analysis, AR display.","question":"What is Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis?"},{"answer":"The Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis operates through a multi-step, intelligent process. First, a computing device gathers essential data: your current GPS location, your desired destination, and comprehensive map information of the surrounding area. Crucially, it also accesses real-time social media content that is geographically relevant to your location and destination.\n\nNext, the system performs a sophisticated analysis on this social media content. It uses techniques like Natural Language Processing (NLP) to identify mentions of recent conditions or attributes, such as unusual crowd densities, temporary street closures, local events, or even general sentiments about an area. Following this, a probabilistic analysis is conducted, where the system assigns probabilities to these identified conditions, weighing factors like the recency and frequency of mentions, to determine their likelihood and impact on potential paths.\n\nBased on this integrated dataset—map data, GPS, and the probabilistically analyzed social media insights—the computing device determines an optimal path. This path is not merely the shortest distance but the most intelligent route given the real-time context. Finally, this determined path is translated into a virtual image and sent to an augmented reality display device (e.g., smart glasses or an AR-enabled smartphone). The AR device then overlays this virtual path onto the user's real-world view, dynamically adjusting its position and orientation to match the user's current direction and angle of view, ensuring a seamless and intuitive guidance experience. Keywords: AR system, data fusion, social media analysis, probabilistic modeling, path determination, AR visualization.","question":"How does Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis work?"},{"answer":"The Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis solves the critical problem of static and often outdated navigation in dynamic real-world environments. Traditional GPS and mapping applications, while useful, struggle to account for transient, hyper-local conditions that significantly impact travel. These can include unexpected street closures for events, sudden surges in pedestrian traffic, temporary construction, or even localized safety concerns that are not reflected in standard map updates or general traffic data.\n\nThis patent addresses the disconnect between digital navigation and physical reality. Users frequently experience frustration, delays, and inefficiencies when their maps fail to inform them of immediate, ground-level changes. The invention provides a solution by introducing a system that actively 'listens' to the pulse of an area through social media content. By analyzing this real-time, human-generated data, it can infer specific conditions that impact pathways.\n\nUltimately, this technology aims to eliminate the need for constant manual re-routing or consulting multiple information sources. It provides a single, intelligent, and continuously adapting AR guide that makes navigation more efficient, safer, and significantly more intuitive by ensuring the user's path is optimized for the actual, unfolding conditions of their environment. Keywords: dynamic navigation, real-time problems, outdated maps, contextual awareness, AR challenges.","question":"What problem does Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis solve?"},{"answer":"The patent Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis (US-9852547) does not list specific inventors in the provided abstract. In standard patent filings, the inventors are typically individuals who contributed to the conception of the invention described in the patent. The assignee, if listed, would be the entity to whom the patent rights have been assigned (e.g., a company). \n\nWithout explicit information on the inventors within the provided patent data, it's not possible to name them directly. However, the innovation itself is a collaborative effort of researchers and engineers. These individuals would have worked on the complex algorithms for data fusion, probabilistic analysis, and augmented reality visualization described in the patent. \n\nThe assignee, often a corporation, holds the legal rights to the invention, fostering the research and development that leads to such breakthroughs. The collective expertise of a team is usually behind such sophisticated technological advancements, blending knowledge from fields like computer vision, natural language processing, geospatial data science, and augmented reality development. Keywords: patent inventors, patent assignee, AR innovation, research and development.","question":"Who invented Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis?"},{"answer":"The Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis offers several significant benefits that redefine the navigation experience:\n\n**1. Enhanced Real-time Contextual Awareness:** Unlike traditional systems, this innovation leverages social media to gain hyper-local, real-time insights into environmental conditions. This means users are guided based on what's *actually* happening on the ground—be it a street fair, construction, or unexpected crowd—not just static map data or general traffic reports. This leads to more informed and reliable pathfinding.\n\n**2. Superior Path Optimization:** The system's probabilistic analysis allows it to determine the most optimal path, which isn't always the shortest. It intelligently routes users to avoid potential obstacles, congestion, or even less desirable areas, leading to more efficient, safer, and pleasant journeys. This dynamic adaptability minimizes frustration and wasted time.\n\n**3. Intuitive and Immersive AR Guidance:** By overlaying a virtual path directly onto the user's real-world view via an AR display, the technology provides a highly intuitive guidance experience. The path dynamically adjusts with the user's direction and angle of view, eliminating the need to constantly look down at a screen, thus enhancing situational awareness and engagement with the surroundings. This creates a seamless blend of digital information with physical reality.\n\n**4. Versatile Applications:** The benefits extend across various sectors, including urban mobility, last-mile logistics, tourism, public safety, and smart city management. Its ability to provide intelligent, adaptive guidance makes it a valuable tool for individuals and enterprises alike, improving operational efficiency and user satisfaction. Keywords: AR benefits, real-time guidance, optimal path, contextual navigation, immersive AR, efficiency, safety.","question":"What are the key benefits of Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis?"},{"answer":"The Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis distinguishes itself from prior art in several fundamental ways, primarily through its unique approach to data integration and intelligent analysis.\n\n**1. Social Media Data Integration:** Most prior AR navigation systems rely on static maps, GPS, and limited real-time traffic data. This patent, however, explicitly integrates and analyzes real-time social media content. This is a critical departure, as it taps into a vast, distributed network of human observations, capturing transient, qualitative, and hyper-local conditions (e.g., pop-up events, localized congestion, temporary closures) that are invisible to conventional data sources.\n\n**2. Probabilistic Contextual Analysis:** While some systems might incorporate basic crowdsourced data, this invention employs sophisticated *probabilistic analysis* on the social media content. It doesn't just identify mentions; it evaluates the likelihood and significance of reported conditions, accounting for factors like recency, frequency, and geographic specificity. This allows for a nuanced, dynamic understanding of the environment that goes beyond simple deterministic rules or generalized traffic patterns.\n\n**3. Adaptive Path Determination:** The pathfinding algorithms in this patent dynamically adjust route optimality based on these probabilistically derived contextual insights. Prior art typically optimizes for shortest distance or fastest route based on historical data and current traffic. This system, however, can reroute based on predicted pedestrian congestion from an event, or a temporary hazard reported on social media, offering a truly adaptive and intelligent path.\n\n**4. Seamless and Responsive AR Visualization:** While AR overlays exist in prior art, this patent emphasizes the precise and continuous adaptation of the virtual path based on the user's real-time direction and angle of view. This ensures a more stable, intuitive, and less distracting guidance experience, enhancing user immersion and situational awareness compared to less responsive or poorly anchored overlays. Keywords: AR differentiation, prior art comparison, social media intelligence, probabilistic analysis, dynamic routing, contextual AR.","question":"How is Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis different from prior art?"},{"answer":"The Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis is poised to significantly impact a wide array of industries due to its ability to provide intelligent, context-aware navigation and real-time environmental insights:\n\n**1. Urban Mobility & Smart Cities:** This technology can revolutionize how people move through cities. It can optimize pedestrian flow, manage crowds during events, and guide public transport users more efficiently. City planners can leverage aggregated, anonymized data for better infrastructure development and emergency response. This enhances urban living and operational efficiency.\n\n**2. Logistics & Delivery Services:** Last-mile delivery is notoriously complex. This patent can enable delivery drivers to dynamically avoid unexpected street closures, temporary loading zone restrictions, or congested areas identified through social media, leading to faster deliveries, reduced fuel costs, and improved customer satisfaction. It streamlines operations and boosts productivity.\n\n**3. Tourism & Hospitality:** Tourists can receive highly personalized and adaptive tours. The system can guide them to popular attractions while avoiding real-time crowds, suggest local eateries based on current social buzz, or highlight events happening nearby, enriching the travel experience and improving local engagement.\n\n**4. Retail & E-commerce:** For physical retail, the technology can guide shoppers to stores, highlight promotions, or even navigate complex indoor environments, adapting to in-store traffic flows. For e-commerce, it ties into efficient delivery and localized marketing efforts.\n\n**5. Emergency Services & Public Safety:** First responders can use this for real-time guidance through dynamic disaster zones or incident sites, with paths adapting to live hazard reports. It can also assist in guiding people safely away from dangerous areas during an emergency, enhancing public safety and response effectiveness.\n\n**6. Outdoor Recreation & Exploration:** Hikers, cyclists, or explorers can benefit from paths that adapt to real-time trail conditions (e.g., muddy paths, recent rockfalls reported by others), making outdoor activities safer and more enjoyable. Keywords: industry impact, smart cities, logistics, tourism, public safety, urban planning, AR applications.","question":"What industries will Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis impact?"},{"answer":"The patent \"Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis\" (US-9852547) was filed on **March 23, 2015**. \n\nThe patent was subsequently published, meaning it was officially granted and made public, on **December 26, 2017**. \n\nThis timeline indicates the period of examination by the patent office, where the claims of the invention were reviewed against existing prior art to ensure novelty and non-obviousness. The filing date marks when the intellectual property rights officially began, while the publication date signifies when the details of the invention became publicly accessible. This period of examination is crucial for establishing the patent's validity and scope. The interval between filing and publication reflects the rigorous process of patent approval. Keywords: patent filing date, patent publication date, US-9852547, AR patent timeline, intellectual property.","question":"When was Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis filed/granted?"},{"answer":"The commercial applications of Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis are extensive, spanning numerous industries seeking to leverage augmented reality and real-time data for enhanced efficiency and user experience.\n\n**1. Augmented Reality Navigation Apps:** Premium consumer AR navigation applications for smartphones and smart glasses could offer highly differentiated services, charging subscription fees for hyper-contextual, adaptive guidance in urban and complex environments. This would appeal to commuters, tourists, and outdoor enthusiasts seeking superior navigational aids.\n\n**2. Smart City Solutions:** Municipalities can license or integrate this technology for intelligent urban management. This includes dynamic traffic and pedestrian flow optimization, real-time event management (e.g., rerouting around festivals or protests), and enhancing public safety through adaptive emergency response routes. This can lead to more efficient and livable cities.\n\n**3. Logistics and Supply Chain Optimization:** Delivery companies (e.g., e-commerce, food delivery, couriers) can utilize this for real-time route optimization, avoiding unexpected obstacles like temporary road closures, construction, or even high-traffic pedestrian areas. This reduces fuel consumption, improves delivery times, and enhances customer satisfaction, leading to significant cost savings and competitive advantage.\n\n**4. Tourism and Cultural Experiences:** Tour operators and cultural institutions can develop AR-powered guides that offer personalized tours. These guides could adapt routes based on real-time crowd levels at attractions, highlight local events mentioned on social media, or suggest less-traveled but equally interesting paths, enriching the tourist experience.\n\n**5. Enterprise Field Services:** Technicians and field workers navigating complex industrial sites, large campuses, or urban areas could benefit from real-time guidance that accounts for temporary access restrictions, equipment locations, or safety zones. This improves operational efficiency and safety for mobile workforces.\n\n**6. Retail and Experiential Marketing:** Retailers can use AR to guide customers through large stores or malls, highlighting promotions or directing them to less crowded areas, all based on real-time data. This creates immersive shopping experiences and enhances customer engagement. Keywords: commercial applications, AR business, smart cities tech, logistics solutions, tourism apps, enterprise AR, retail innovation.","question":"What are the commercial applications of Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis?"},{"answer":"Looking ahead, the Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis is poised for several exciting future developments that will further enhance its capabilities and broaden its applications.\n\n**1. Integration with Broader IoT and Sensor Networks:** Beyond social media, the system could integrate with real-time data from Internet of Things (IoT) sensors, urban cameras, environmental sensors, and public safety feeds. This would provide an even richer, more granular understanding of the physical environment, leading to more accurate and predictive path optimization for factors like air quality, noise levels, or localized microclimates.\n\n**2. Predictive Pathfinding with AI:** Current probabilistic analysis could evolve into more advanced predictive AI models. By analyzing historical patterns of social media data, events, and their impact on navigation, the system could not only react to real-time conditions but also anticipate potential disruptions hours or even days in advance, offering proactive guidance and alternative route suggestions.\n\n**3. Personalized User Preferences and Adaptive Learning:** The system could learn individual user preferences (e.g., prefers scenic routes over fastest, avoids crowded areas, accessibility needs) and adapt its path recommendations over time. This would move beyond universal 'optimal' paths to truly personalized guidance, enhancing user satisfaction and loyalty through continuous learning.\n\n**4. Multi-User and Collaborative AR Experiences:** Future developments could enable multiple users with AR devices to share and collaboratively interact with the visualized paths, potentially for group navigation, shared exploration, or coordinated tasks in complex environments. This opens avenues for social AR experiences.\n\n**5. Advanced AR Hardware Integration:** As AR smart glasses become more compact, powerful, and ubiquitous, the seamless integration and performance of the virtual path overlay will improve dramatically, offering higher resolution, wider fields of view, and more robust spatial anchoring, making the experience virtually indistinguishable from reality. Keywords: future AR, predictive navigation, AI in AR, personalized guidance, IoT integration, collaborative AR, smart glasses.","question":"What are the future developments expected for Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis?"}],"topics":["Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis","augmented reality navigation","AR pathfinding","real-time social media analysis","probabilistic path analysis","evolution","augmented","reality"],"tech_cluster":null},"seo":{"title":"AR Path Visualization - Real-time Navigation Patent US-9852547","description":"Discover Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis. This patent redefines AR navigation with social media-driven, real-time contextual pathfinding. Explore its tech & impact.","keywords":["Path Visualization for Augmented Reality Display Device Based on Received Data and Probabilistic Analysis","augmented reality navigation","AR pathfinding","real-time social media analysis","probabilistic path analysis","contextual AR","smart navigation patent","AR display technology","US-9852547","GPS and AR","dynamic routing","innovation in AR"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852547","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-9852547","citation_suggestion":"Patentable. \"Path visualization for augmented reality display device based on received data and probabilistic analysis\" (US-9852547). https://patentable.app/patents/US-9852547","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852547","json":"https://patentable.app/api/llm-context/US-9852547","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T07:48:23.803Z"}