Huawei technologies co., ltd. (20240092382). APPARATUS AND METHOD FOR ASSISTING AN AUTONOMOUS VEHICLE AND/OR A DRIVER OF A VEHICLE simplified abstract
Contents
- 1 APPARATUS AND METHOD FOR ASSISTING AN AUTONOMOUS VEHICLE AND/OR A DRIVER OF A VEHICLE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPARATUS AND METHOD FOR ASSISTING AN AUTONOMOUS VEHICLE AND/OR A DRIVER OF A VEHICLE - 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 Original Abstract Submitted
APPARATUS AND METHOD FOR ASSISTING AN AUTONOMOUS VEHICLE AND/OR A DRIVER OF A VEHICLE
Organization Name
Inventor(s)
Stefano Sabatini of Munich (DE)
Dzmitry Tsishkou of Boulogne Billancourt (FR)
APPARATUS AND METHOD FOR ASSISTING AN AUTONOMOUS VEHICLE AND/OR A DRIVER OF A VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240092382 titled 'APPARATUS AND METHOD FOR ASSISTING AN AUTONOMOUS VEHICLE AND/OR A DRIVER OF A VEHICLE
Simplified Explanation
The patent application describes an apparatus for assisting a control system and/or a driver of a vehicle by predicting the future positions of the vehicle and other traffic objects in its vicinity.
- The processing circuitry determines the probability that the vehicle and traffic objects will be at specific positions in the future based on motion state information.
- The apparatus calculates separate probability measures for the vehicle and traffic objects, as well as a combined probability measure for their positions at future time instants.
Potential Applications
This technology could be applied in autonomous driving systems, collision avoidance systems, and traffic management systems.
Problems Solved
This technology helps in predicting the future positions of vehicles and traffic objects, which can aid in avoiding accidents and improving traffic flow efficiency.
Benefits
The apparatus provides valuable information for decision-making processes in vehicle control systems, enhancing safety and efficiency on the road.
Potential Commercial Applications
The technology could be utilized in self-driving cars, smart traffic lights, and fleet management systems to improve overall traffic safety and efficiency.
Possible Prior Art
One possible prior art could be predictive analytics systems used in traffic management and navigation applications to forecast traffic patterns and optimize routes.
What are the potential limitations of this technology in real-world applications?
One potential limitation of this technology in real-world applications could be the accuracy of the predictions made by the apparatus. Factors such as sudden changes in traffic conditions or unexpected behavior of other road users may affect the reliability of the predictions.
How does this technology compare to existing predictive analytics systems in terms of accuracy and efficiency?
This technology may offer improved accuracy and efficiency compared to existing predictive analytics systems, as it takes into account the motion state information of both the vehicle and traffic objects to calculate the probability measures for future positions. This comprehensive approach could lead to more reliable predictions and better decision-making capabilities in vehicle control systems.
Original Abstract Submitted
an apparatus for assisting a control system and/or a driver of a vehicle is provided. the apparatus comprises a processing circuitry configured to: determine for a plurality of positions within a vicinity of the vehicle, based on motion state information of the vehicle, a respective first probability measure that the vehicle will be at the respective position at one or more future time instants; determine for the plurality of positions, based on motion state information of at least one traffic object, a respective second probability measure that the at least one traffic object will be at the respective position at the one or more future time instants; and determine for the plurality of positions, a respective combined probability measure that the vehicle and the at least one traffic object will be at the respective position at the one or more future time instants.
