WiSE Vehicle Dynamics & Personalized Autocorrection©

THE FUTURE OF HUMAN + MACHINE VEHICLES

WiSE Vehicle Dynamics & Personalized Autocorrection©

Abstract:

Imagine a vehicle that seamlessly adapts to your every move, anticipates your needs, and responds instantly to changing road conditions. This is the promise of WiSE Adaptive Vehicle Dynamics & Personalized Autocorrection©, a revolutionary approach to vehicle control developed by CATALYZER THINK TANK and UP ELECTROMODS. By fusing the precision of quantum sensors, traditional IoT, and the geometric speedup intelligence of the Ipvive WiSE Relational Edge AI© engine and complex adaptive system architecture, we’re creating a new generation of vehicles that are safer, more efficient, and more personalized than ever before. This is achieved through WiSE Relational Edge AI©, which acts as a “glue” to connect data from various sensors and knowledge sources. This allows WiSE© to comprehend the complex interplay of signals, detect anomalies, and reframe its “lens” based on a dynamic lens/map and compass directed towards the driver’s skills, capabilities, and state. This complex and dynamic set is comprehended using topology and geometric speedup on hyperbolic 3-manifolds, GGAM, and then makes decisions based on the human’s goals. This white paper explores how this groundbreaking solution will transform the driving experience across a wide range of vehicles.

1. A New Era of Driving: Market Opportunity

The automotive industry is on the cusp of a major transformation. Drivers are demanding vehicles that are not just modes of transportation, but intelligent partners. WiSE Adaptive Vehicle Dynamics & Personalized Autocorrection© meets this demand, offering a compelling solution for:

• Two-Wheeled Vehicles (eBikes & Motorcycles): This booming market presents a significant opportunity for early adoption and rapid growth. Our system enhances the riding experience by providing unparalleled stability, control, “feel,” and responsiveness. Imagine an eBike that effortlessly navigates rough terrain, smoothing out bumps and providing a comfortable ride even on cobblestone streets or gravel paths, increasing rider confidence and safety. This is achieved by continuously monitoring the terrain using quantum-enhanced sensors that can detect subtle variations in the road surface, and adjusting the suspension damping in real-time to absorb shocks and vibrations, all while considering the rider’s goal of a comfortable and safe journey. Or picture a motorcycle that leans into corners with superhuman precision, offering unmatched agility and control, pushing the boundaries of performance and excitement. This is made possible by objective sensing and the geometric speedup from the WiSE Relational Edge AI©, which analyzes dynamic, complex, and imperfect sensor data from the motorcycle’s inertial measurement unit (IMU), GPS, and other sensors to predict the optimal lean angle and adjust the suspension and steering accordingly based on the rider’s skills/character and environment. This technology can revolutionize the two-wheeled vehicle market, attracting new riders and expanding the possibilities for urban commuting, recreational riding, and even delivery services.

• Commercial Vehicles: For businesses operating fleets of trucks, our system significantly cuts operating costs by optimizing fuel use, minimizing tire wear, and protecting valuable cargo. Imagine trucks that automatically adjust to road conditions, reducing fuel consumption and preventing accidents. This is achieved by leveraging quantum-enhanced GPS, Lidar road conditions and terrain mapping data to anticipate upcoming hills or traffic congestion and proactively adjust the engine’s power output and gear shifting strategy. For example, the system can detect an upcoming steep incline and downshift the transmission to provide optimal torque for climbing, or it can anticipate a sharp turn and adjust the suspension stiffness to maintain stability, all in service of the driver’s goal of efficient and safe delivery. Tire wear is minimized by analyzing data from wheel speed sensors and accelerometers to detect and respond to changes in road surface texture, enabling the system to dynamically adjust suspension settings and braking force distribution to minimize tire slippage and wear. This not only reduces tire costs but also minimizes downtime associated with tire changes. Cargo protection is enhanced by actively stabilizing the vehicle and mitigating the effects of sudden maneuvers or rough terrain, ensuring the safe and timely delivery of goods. This is particularly important for fragile or sensitive cargo, where even minor disturbances, detected as anomaly triggers by the system’s array of accelerometers and gyroscopes, can prompt immediate autocorrections to maintain stability. By adapting to varying road conditions and driver behaviors, the system can also improve driver comfort and reduce fatigue, leading to increased productivity and reduced accident rates. Moreover, enhanced off-road capabilities, achieved through real-time adjustments to suspension settings and traction control systems, triggered by anomalies like changes in terrain elevation or wheel slip, can expand the operational range of commercial vehicles. This opens up new possibilities for industries such as logistics, construction, and mining, allowing them to access previously inaccessible areas and operate more efficiently in challenging environments.

• Autonomous Vehicles: Our adaptive system acts like a super-intelligent co-pilot for autonomous vehicles, constantly analyzing the surroundings and making split-second adjustments to ensure a smooth and safe ride, even in unpredictable situations. This is achieved through a combination of quantum-enhanced sensors, such as lidar and radar, that provide precise and real-time data about the vehicle’s surroundings, and the WiSE Relational Edge AI© engine and complex adaptive system architecture that can analyze this data and make rapid adjustments to vehicle controls based on pre-programmed goals, such as reaching a destination safely and efficiently. For example, the system can detect a patch of ice on the road, recognized as an anomaly trigger, and immediately reframe its “lens” to prioritize data related to traction control, adjusting the vehicle’s trajectory and speed to avoid skidding. It can also anticipate a sudden lane change by another vehicle, detected through lidar and radar data, and adjust its own position to maintain a safe distance. By ensuring smooth and stable rides, even in challenging conditions, the system can also improve passenger comfort and acceptance of autonomous vehicles, paving the way for wider adoption of this transformative technology.

• Performance Vehicles: Our system takes vehicle performance to the next level, optimizing for every curve and bump in the road. This is achieved by continuously monitoring vehicle dynamics and driver inputs, and making instantaneous adjustments to suspension stiffness, damping rates, and steering response, guided by anomaly triggers like changes in g-force or steering angle. For example, during aggressive cornering, an anomaly trigger in lateral acceleration can prompt the system to reframe its “lens” and stiffen the suspension to reduce body roll and improve handling. On bumpy roads, the system can detect anomalies in vertical acceleration and soften the suspension to maintain tire contact and improve ride comfort. This can lead to improved lap times, enhanced driver control, and a more exhilarating driving experience, pushing the boundaries of performance and allowing drivers to fully exploit their vehicles’ capabilities, all while prioritizing the driver’s goal of achieving the best possible lap time or driving experience.

• Military & Defense: In challenging military environments, our system provides enhanced mobility, stability, and situational awareness, giving soldiers a critical advantage in the field. This is achieved through real-time adjustments to suspension settings, traction control systems, and even tire pressure, triggered by anomaly triggers like sudden changes in terrain elevation or the detection of obstacles. For example, encountering a ditch or a large rock can trigger an anomaly response, prompting the system to reframe its “lens” and adjust suspension settings and tire pressure to maintain stability and momentum. The system can also enhance situational awareness by providing real-time feedback on vehicle status and environmental conditions, enabling soldiers to make informed decisions and operate more effectively in high-pressure situations. All of this is done in service of the mission’s goals, whether it be safely transporting troops, navigating hazardous terrain, or engaging in combat operations.

2. The WiSE© Advantage: How It Works

Our system is built on a powerful combination of cutting-edge technologies:

• Quantum Sensing & Traditional IoT: We utilize a combination of quantum and traditional IoT sensors to gather a comprehensive picture of the driver, vehicle, and environment. This data forms the foundation for WiSE©’s intelligent decision-making. Quantum sensors provide ultra-precise measurements of motion, terrain, and even the driver’s physiological state, while traditional IoT sensors monitor various vehicle parameters like engine temperature and tire pressure.

• WiSE Relational Edge AI©: This is the brain of our system, a revolutionary engine that acts as a “glue,” binding together diverse signals and knowledge sources. This allows WiSE to:

• Learn complex relationships between different vehicle components, the driver, and the environment. For example, it can learn how changes in steering angle, suspension compression, and tire slip angle are related to each other and to the driver’s intentions, enabling it to predict and prevent potential loss of control situations.
• Achieve geometric speedup to process information and enable real-time control. This is crucial for safety and performance, allowing the system to react instantly to changing conditions. For instance, it can process data from multiple sensors and make adjustments to suspension settings within milliseconds, ensuring optimal stability and control even in highly dynamic situations.
• Personalize the driving experience by adapting to individual driving styles and preferences. This is achieved by analyzing data from various sources, including steering wheel movements, pedal pressure, and even biometric sensors that can monitor heart rate and skin conductance. This information is used to create a driver profile that informs the AI’s decision-making, allowing it to adjust vehicle dynamics to match the driver’s unique style and preferences.
• Continuously learn and adapt through a combination of supervised and unsupervised learning. This allows the system to adapt to new situations, improve its performance, and become more personalized to the driver’s needs.
• Distribute intelligence across the vehicle for robustness and faster response times. This creates a more resilient system, where individual components can continue to function even if others fail. For example, if one of the wheel units loses communication with the central system, it can still continue to operate autonomously, using its own local AI to maintain stability and control.

3. Reimagining the Driving Experience: Use Cases

WiSE Adaptive Vehicle Dynamics & Personalized Autocorrection©  has the potential to transform the driving experience across a wide range of vehicles:

• eBikes & Motorcycles: Our technology enhances stability, control, and responsiveness, making two-wheeled vehicles safer and more enjoyable. For example, on a bumpy road, the system can automatically adjust the suspension damping to absorb shocks and vibrations, providing a smoother and more comfortable ride. In corners, the system can optimize the lean angle and suspension settings to enhance grip and stability.

• Commercial Vehicles: For trucking fleets, our system optimizes fuel consumption, minimizes wear and tear, and protects valuable cargo. This translates to lower operating costs, increased efficiency, and improved driver safety. For example, the system can analyze real-time traffic data and adjust the truck’s speed and route to avoid congestion and minimize fuel consumption. It can also monitor tire pressure and temperature, alerting the driver to potential problems before they become critical.

• Autonomous Vehicles: WiSE© acts as the ultimate co-pilot for autonomous vehicles, ensuring safe and reliable navigation in any environment. This technology is crucial for building trust in self-driving cars and accelerating their adoption. For example, the system can analyze sensor data to identify potential hazards, such as pedestrians crossing the road or vehicles making sudden lane changes, and take evasive action to avoid collisions.

• Performance Vehicles: For drivers who demand the ultimate in performance, our system unlocks new levels of speed and handling. It’s like having a professional racing team optimizing your vehicle in real-time, allowing you to push the limits of performance. For example, the system can adjust the suspension stiffness and damping rates to optimize grip and stability during cornering, braking, and acceleration.

• Military & Defense: In challenging military environments, our system provides enhanced mobility, stability, and situational awareness, giving soldiers a critical advantage in the field. For example, the system can adjust the vehicle’s suspension and tire pressure to optimize traction on different types of terrain, such as sand, mud, or rocks.

4. Beyond Vehicles: Expanding the Horizon

The applications of WiSE Adaptive Vehicle Dynamics extend to robotics, aerospace, medical devices, and industrial automation, offering potential for enhanced agility, adaptability, and efficiency in these fields. (See previous sections for detailed examples).

5. Navigating the Road Ahead: Risks and Opportunities

Developing and deploying this advanced technology presents both challenges and opportunities. Risks include software complexity, cybersecurity threats, sensor reliability, and regulatory hurdles. However, the potential rewards are significant, including increased efficiency, cost savings, enhanced safety, and new revenue streams.

6. Quantum Precision: Objective Data for Intelligent Control

Our system leverages quantum mechanics to ensure objective and precise data interpretation, leading to more reliable vehicle control. This is achieved through:

• Objectivity Through Quantum Principles: Eliminating bias and uncertainty in sensor data interpretation.
• Precise Measurement: Utilizing quantum mechanics to measure physical quantities with unprecedented accuracy.
• System Interconnectivity: Understanding the complex interplay between different vehicle components, the driver, and the environment.
• Embracing Uncertainty: Incorporating probabilistic reasoning and uncertainty quantification techniques to handle unpredictable events.

7. WiSE: The Brain Behind the Wheel

The heart of our technology is the WiSE Relational Edge AI© engine and complex adaptive system architecture, a breakthrough innovation developed by Nathaniel Thurston.

• Nathaniel Thurston’s Innovation: WiSE© is built on advanced mathematics and signal processing techniques, enabling it to understand and control complex systems.

• Hyperbolic Lensing©: This is about personalization, creating a unique “lens” for each driver based on their skills, capabilities, and state. This allows the system to adapt to different driving styles and provide a truly personalized experience. This relates to the Thurston Geometrization Conjecture by mapping complex data onto a hyperbolic 3-manifold, where relationships and patterns become clearer. This allows WiSE© to identify “killerwords” – key data points that trigger specific responses and adaptations.

• Granular to Geometric Associative Memory (GGAM)©: This technology enables rapid learning and adaptation by associating specific sensor patterns with optimal vehicle responses, allowing for “geometric speedup” and real-time autocorrection.

• Relational Intelligence and Vehicle Adaptation: WiSE© understands how everything in the vehicle works together, allowing it to optimize performance while adapting to the driver’s individual style and preferences.

8. Staying Ahead of the Curve: Competitive Forces

Our technology offers key advantages over traditional passive systems, centralized active systems, and other emerging technologies. The unique capabilities of WiSE Relational Edge AI©, including its geometric speedup, personalization engine, GGAM, and ability to “Learn WiSE©,” give us a significant competitive advantage.

9. Charting the Course: Roadmap

10. Reaping the Rewards: Return on Investment (ROI)

Investing in our system offers a strong return on investment through enhanced performance and efficiency, increased personalization and driver satisfaction, faster development and adaptation, and reduced development risk.

11. Driving a Better Future: Social Impact

Our technology has the potential to make a real difference in the world by improving safety, environmental sustainability, accessibility, economic growth, and human-machine synergy.

12. Conclusion: The Road Ahead

We’re on the cusp of a new era in vehicle dynamics & personalized autocorrection. By combining quantum technology, edge computing, and the power of WiSE Relational Edge AI© engine and complex adaptive system archiecture, we’re creating a future where vehicles are intelligent partners that enhance our capabilities and improve our lives. This technology has the potential to reshape the automotive industry and beyond, creating a safer, more efficient, and more personalized driving experience for everyone.

For additional information see www.upelectromods.com

LIST OF REFERENCES

Quantum Sensing:

• “Quantum sensing” – Nature, Degen, C.L., Reinhard, F. & Cappellaro, P. (2017). This provides a general overview of quantum sensing technologies.
• “Diamond-based quantum sensing” – MRS Bulletin, Acosta, V.M., Bauch, E., Ledbetter, M.P., Santori, C., Fu, K.-M.C., Barclay, P.E., Beausoleil, R.G., Linget, H., Roch, J.F., Treussart, F., Chemerisov, S., Gawlik, W. & Budker, D. 1 (2010). This focuses on the specific type of quantum sensing you mention.  

Edge AI:

• “State of the Edge 2023: The Distributed Cloud is Here” – State of the Edge, (2023). This report provides a comprehensive overview of edge computing trends and technologies.
• “Edge AI: The New Frontier in AI” – Forbes, Columbus, L. (2022). This article discusses the growing importance of edge AI and its applications.

AI Algorithms and Machine Learning:

• “Deep Learning” – Adaptive Computation and Machine Learning series, Goodfellow, I., Bengio, Y., & Courville, A. (2016). This is a foundational text on deep learning.
• “Reinforcement Learning: An Introduction” – Adaptive Computation and Machine Learning series, Sutton, R.S., & Barto, A.G. (2018). This book provides a comprehensive introduction to reinforcement learning, a key technique for adaptive control.

Hyperbolic Geometry and Topology:

• “Three-dimensional geometry and topology, Vol. 1” – Princeton Mathematical Series, Thurston, W.P. (1997). This is a seminal work by William Thurston on the geometrization conjecture.
• “Notes on Hyperbolic Geometry” – Unpublished lecture notes, Benedetti, R., & Petronio, C. (2012). These notes provide a more accessible introduction to hyperbolic geometry.

Vehicle Dynamics:

• “Tire and Vehicle Dynamics” – SAE International, Pacejka, H.B. (2012). This is a classic text on vehicle dynamics, covering tire mechanics and vehicle handling.
• “Race Car Vehicle Dynamics” – SAE International, Milliken, W.F. & Milliken, D.L. (1995). This book provides a more specialized treatment of vehicle dynamics, focusing on racing applications.

WiSE Relational Edge AI©:

• IPVIVE | WiSE Relational Edge AI© (https://www.ipvive.com/)
• Nathaniel Thurston PhD Thesis (https://ipvive-my.sharepoint.com/:b:/p/njt/Ecrq7SkSAzlAq6_rsNnx4ngBEMDryLN6jb1H_nGCGnuK2w?e=w7P4eK) + Code (https://github.com/njt99/findingkillerwords) 
• William Thurston (https://en.wikipedia.org/wiki/William_Thurston)
• Geometry and Imagination (https://ipvive-my.sharepoint.com/:b:/p/greg/EcVTnjoPJJtGhufPhSsN87wB1iKs7MOKLrLmLeuaCFtJ0g?e=tl5aQC) 
• eFPGA (https://www.quicklogic.com/), potential WiSE Applied Tech Partner©
• Quantum Topological Chip (https://news.microsoft.com/source/features/innovation/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/), potential WiSE Applied Tech Partner©
• UP ELECTROMODS (https://www.upelectromods.com/), a WiSE Solution Partner© focused on first fundamentals and matching necessity/competitive triggers and novelty/creative triggers to talent and mutually profitable ecosystem customers and partners.