US20240386622
2024-11-21
Physics
G06T11/00
The patent application introduces a method utilizing Generative Adversarial Networks (GANs) to enhance visibility through a vehicle's windscreen. This approach involves monitoring the windscreen's visibility using sensors, generating a visibility score, and dynamically transforming the windscreen into a display surface when the score falls below a set threshold. The system analyzes external sensor feeds to assess the vehicle's surroundings and employs GANs to reconstruct and render these visuals onto the windscreen in real-time, ensuring clear visibility for the driver.
Driving with an obscured windscreen poses significant risks, potentially leading to accidents. Traditional solutions like windshield wipers are often inadequate under severe weather conditions or mechanical failures. Modern vehicles equipped with transparent display devices offer a partial solution by displaying digital content but lack the capability to dynamically adapt to changing visibility conditions. This invention addresses the need for a more effective method to maintain clear visibility through windscreens.
The invention encompasses a method, computer program product, and system for enhancing windscreen visibility. Sensors monitor the windscreen's clarity, and upon detecting reduced visibility, the system converts the windscreen into a display surface. It processes external sensor data to analyze the surrounding area and uses GANs to create real-time visual adaptations displayed on the windscreen. This system is designed to operate dynamically and in real-time, providing continuous support for drivers.
The proposed system includes a processor, memory, sensors, and a transparent display integrated into the vehicle's windscreen. The computer program product involves non-transitory storage media containing code executable by a processor to perform the described method. The system architecture supports real-time data processing and visualization through interconnected components like processors, storage devices, network modules, and IoT sensors.
This technology aims to significantly reduce driving risks associated with poor visibility due to adverse weather or obstructions on the windscreen. By leveraging GANs for real-time image reconstruction, drivers can maintain situational awareness even when direct visual paths are compromised. The integration of this system into autonomous vehicles enhances safety by ensuring that human drivers can take control when necessary without compromised visibility.