International Business Machines Corporation (20240278797). AUGMENTED REALITY INCIDENT PROJECTION BASED ON VEHICLE MOVEMENTS simplified abstract
Contents
- 1 AUGMENTED REALITY INCIDENT PROJECTION BASED ON VEHICLE MOVEMENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUGMENTED REALITY INCIDENT PROJECTION BASED ON VEHICLE MOVEMENTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Augmented Reality Incident Projection
- 1.13 Original Abstract Submitted
AUGMENTED REALITY INCIDENT PROJECTION BASED ON VEHICLE MOVEMENTS
Organization Name
International Business Machines Corporation
Inventor(s)
Tushar Agrawal of West Fargo ND (US)
Martin G. Keen of Cary NC (US)
Jeremy R. Fox of Georgetown TX (US)
Sarbajit K. Rakshit of Kolkata (IN)
AUGMENTED REALITY INCIDENT PROJECTION BASED ON VEHICLE MOVEMENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240278797 titled 'AUGMENTED REALITY INCIDENT PROJECTION BASED ON VEHICLE MOVEMENTS
Simplified Explanation
The patent application describes a method to project incident information in an augmented reality environment based on vehicle movements. This involves predicting a vehicle's path, obtaining driving conditions from sensors, identifying objects in the path, determining collision zones, and displaying this information using an augmented reality device.
Key Features and Innovation
- Predicting vehicle paths based on telemetry data.
- Obtaining driving conditions from sensors.
- Identifying objects in the vehicle's path.
- Determining collision zones on objects and vehicles.
- Displaying driving conditions and collision zones using augmented reality.
Potential Applications
This technology can be used in:
- Automotive safety systems.
- Navigation and driver assistance applications.
- Emergency response and accident prevention tools.
Problems Solved
- Enhancing driver awareness of potential collisions.
- Improving safety on the road.
- Providing real-time incident information to drivers.
Benefits
- Increased road safety.
- Enhanced driver decision-making.
- Improved accident prevention.
Commercial Applications
Augmented reality incident projection technology can be utilized in:
- Automotive industry for advanced safety features.
- Navigation systems for real-time hazard alerts.
- Emergency response services for quicker incident management.
Prior Art
Readers can explore prior art related to augmented reality in automotive safety systems, collision detection technologies, and sensor-based driving assistance systems.
Frequently Updated Research
Stay informed about advancements in augmented reality technology, vehicle telematics, and collision avoidance systems for potential updates to this innovation.
Questions about Augmented Reality Incident Projection
How does this technology improve driver safety?
This technology enhances driver safety by providing real-time incident information and collision warnings, allowing drivers to make informed decisions on the road.
What are the potential commercial applications of this innovation?
The commercial applications include integrating this technology into automotive safety systems, navigation tools, and emergency response services for improved road safety and incident management.
Original Abstract Submitted
a computer-implemented method, a computer system and a computer program product project incident information within an augmented reality environment based on vehicle movements. the method includes determining a predicted path of a vehicle based on telemetry data associated with the vehicle. the method also includes obtaining driving conditions associated with a surrounding environment using a sensor. in addition, the method includes identifying an object in the predicted path of the vehicle. the method further includes determining a collision zone on the object and a corresponding collision zone on the vehicle based on physical attributes of the object and the predicted path of the vehicle. lastly, the method includes generating a display of the driving conditions using an augmented reality device, where the display indicates the collision zone on the object and includes a virtual model of the vehicle that indicates the corresponding collision zone on the vehicle.
