View source for 18510257. APPARATUS AND METHOD FOR ASSISTING AN AUTONOMOUS VEHICLE AND/OR A DRIVER OF A VEHICLE simplified abstract (Huawei Technologies Co., Ltd.)

=APPARATUS AND METHOD FOR ASSISTING AN AUTONOMOUS VEHICLE AND/OR A DRIVER OF A VEHICLE=


==Organization Name==

[[:Category:Huawei Technologies Co., Ltd.|Huawei Technologies Co., Ltd.]]


[[Category:Huawei Technologies Co., Ltd.]]

==Inventor(s)==

[[:Category:Stefano Sabatini of Munich (DE)|Stefano Sabatini of Munich (DE)]][[Category:Stefano Sabatini of Munich (DE)]]

[[:Category:Thomas Gilles of Munich (DE)|Thomas Gilles of Munich (DE)]][[Category:Thomas Gilles of Munich (DE)]]

[[:Category:Dzmitry Tsishkou of Boulogne Billancourt (FR)|Dzmitry Tsishkou of Boulogne Billancourt (FR)]][[Category: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 18510257 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 traffic objects in its vicinity.

* The apparatus uses motion state information of the vehicle to determine the probability of the vehicle being at different positions in the future.
* It also considers the motion state information of at least one traffic object to determine the probability of the traffic object being at different positions in the future.
* By combining these probabilities, the apparatus calculates the likelihood of the vehicle and the traffic object being at the same position in the future.

== Potential Applications ==
This technology could be applied in autonomous vehicles, advanced driver assistance systems, and traffic management systems.

== Problems Solved ==
This technology helps in predicting potential collisions or conflicts between the vehicle and traffic objects, allowing for proactive measures to be taken to avoid accidents.

== Benefits ==
The apparatus enhances safety on the road by providing early warnings and assisting in decision-making for the control system and driver.

== Potential Commercial Applications ==
Potential commercial applications include integrating this technology into autonomous vehicles, fleet management systems, and smart city infrastructure.

== Possible Prior Art ==
One possible prior art could be predictive analytics systems used in traffic management or collision avoidance systems in vehicles.

=== What are the limitations of this technology in real-world applications? ===
One limitation of this technology in real-world applications could be the accuracy of predicting the future positions of vehicles and traffic objects, which can be influenced by various unpredictable factors such as sudden changes in traffic conditions or unexpected behaviors of other road users.

=== 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 by considering the combined probability of the vehicle and traffic objects being at the same position in the future, leading to more reliable predictions and proactive decision-making capabilities.


==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.



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