17455855. Managing Vehicle Behavior Based On Predicted Behavior Of Other Vehicles simplified abstract (QUALCOMM Incorporated)
Contents
Managing Vehicle Behavior Based On Predicted Behavior Of Other Vehicles
Organization Name
Inventor(s)
Gopi Krishna Tummala of San Diego CA (US)
Tianqi Ye of San Diego CA (US)
Avdhut Joshi of San Marcos CA (US)
Monu Surana of San Diego CA (US)
Managing Vehicle Behavior Based On Predicted Behavior Of Other Vehicles - A simplified explanation of the abstract
This abstract first appeared for US patent application 17455855 titled 'Managing Vehicle Behavior Based On Predicted Behavior Of Other Vehicles
Simplified Explanation
The patent application describes methods and systems for managing vehicle behavior. Here are the key points:
- The technology involves a vehicle processor in a first vehicle receiving information about the movements of a second vehicle in close proximity.
- The processor uses this information to determine the probabilities of different behaviors that the second vehicle might exhibit.
- Based on these probabilities, the processor predicts the future path of the second vehicle.
- The predicted future path of the second vehicle is then used in a vehicle control function of the first vehicle.
- Additionally, the processor can predict the behavior of a third vehicle based on intention information received about the second vehicle.
- The behavior of the first vehicle can be adjusted based on the predicted behavior of the third vehicle.
Potential applications of this technology:
- Autonomous vehicles: The technology can be used in autonomous vehicles to improve their ability to predict and respond to the behavior of other vehicles on the road.
- Traffic management systems: The information about the behavior of nearby vehicles can be used to optimize traffic flow and reduce congestion.
- Collision avoidance systems: By predicting the future paths of other vehicles, the technology can help in developing collision avoidance systems that can take proactive measures to prevent accidents.
Problems solved by this technology:
- Uncertainty in vehicle behavior: The technology helps in reducing uncertainty by predicting the future paths of nearby vehicles, allowing for better decision-making and control.
- Improved safety: By predicting the behavior of other vehicles, the technology can help in avoiding potential collisions and improving overall road safety.
Benefits of this technology:
- Enhanced vehicle control: By incorporating predicted future paths of nearby vehicles, the technology can improve the control and maneuverability of the host vehicle.
- Improved efficiency: The ability to predict and adjust behavior based on the actions of other vehicles can lead to more efficient driving and traffic flow.
- Increased safety: By anticipating the behavior of other vehicles, the technology can help in preventing accidents and reducing the risk of collisions.
Original Abstract Submitted
Various embodiments include methods and systems for managing vehicle behavior. In some embodiments, a vehicle processor of the first vehicle may receive dynamic traffic flow feature information relevant to movements of a second vehicle within a predetermined proximity to the host vehicle, determine probabilities of a plurality of potential behaviors of the second vehicle based on the received dynamic traffic flow feature information, predict a future path of the second vehicle, and use the predicted future path of the second vehicle in a vehicle control function. In some embodiments, the vehicle processor of the first vehicle may predict a behavior of a third vehicle based on received intention information about the second vehicle, and may adjust a behavior of the first vehicle based on the predicted behavior of the third vehicle.
