17957546. Vehicular Emergency Detection System, Method, and Computer Program Product simplified abstract (Ford Global Technologies, LLC)
Contents
- 1 Vehicular Emergency Detection System, Method, and Computer Program Product
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Vehicular Emergency Detection System, Method, and Computer Program Product - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
Vehicular Emergency Detection System, Method, and Computer Program Product
Organization Name
Inventor(s)
Danson Evan Lu Garcia of Pittsburgh PA (US)
Vehicular Emergency Detection System, Method, and Computer Program Product - A simplified explanation of the abstract
This abstract first appeared for US patent application 17957546 titled 'Vehicular Emergency Detection System, Method, and Computer Program Product
Simplified Explanation
The abstract describes a method for detecting emergencies in autonomous vehicles using sensors and machine learning models.
- Scanning the environment of an autonomous vehicle with a sensor to collect data.
- Analyzing the data using a machine learning model trained to recognize emergency situations.
- Identifying and generating a data packet for the first emergency situation detected.
- Transmitting the data packet to a report center.
Potential Applications
This technology could be applied in various industries such as autonomous vehicles, emergency response systems, and public safety.
Problems Solved
This technology helps in quickly detecting emergency situations in autonomous vehicles, allowing for prompt response and potentially saving lives.
Benefits
The benefits of this technology include improved safety in autonomous vehicles, faster emergency response times, and enhanced overall efficiency in handling critical situations.
Potential Commercial Applications
Potential commercial applications of this technology include integration into autonomous vehicle systems, emergency response services, and public safety infrastructure.
Possible Prior Art
One possible prior art could be the use of sensors and machine learning models in autonomous vehicles for various purposes, including emergency detection and response.
Unanswered Questions
How reliable is the detection of emergency situations by the system?
The reliability of the system in accurately detecting emergency situations is crucial for its effectiveness in real-world applications. Further testing and validation studies may be needed to assess the system's performance in different scenarios.
What are the privacy implications of transmitting environment data to a report center?
Transmitting environment data, especially in emergency situations, raises concerns about privacy and data security. It is essential to address these issues to ensure compliance with regulations and protect user information.
Original Abstract Submitted
Disclosed herein are methods, systems, and computer program products for detecting an emergency that include: scanning, with a sensor, an environment of an autonomous vehicle on which the sensor is connected to collect environment data; analyzing the environment data using a machine learning model trained using historical data to recognize emergency situations, where the analyzing includes identifying at least a portion of the environment data as corresponding to a first emergency situation; in response to identifying the first emergency situation, generating a data packet including the environment data corresponding to the first emergency situation; and transmitting the data packet to a report center.
