CN-121999603-A - System and method for identifying ghost vehicles

Abstract

The present disclosure provides a system and method for identifying ghost vehicles. A method includes detecting an object in a consist environment, determining whether one or more conditions are satisfied in response to the detection of the object, transmitting a request for data from one or more sensors of each of one or more automated vehicles, receiving the requested data from the one or more automated vehicles, and performing one or more corrective actions based on an analysis of the requested data.

Inventors

• S.C.SARTHE
• K. Bandy
• R. O'Gorman
• B. Diamond
• V. D. Shenoi
• M A Santee

Assignees

• 福特全球技术公司

Dates

Publication Date

20260508

Application Date

20251031

Priority Date

20241106

Claims (15)

1. 1. A method, the method comprising: Detecting objects in a marshalling environment; Determining whether one or more conditions are met in response to the detection of the object; Transmitting a request to one or more automated vehicles for data originating from one or more sensors of each of the one or more automated vehicles in response to the one or more conditions being met; Receiving the requested data from the one or more automated vehicles, and One or more corrective actions are performed based on an analysis of the requested data.
2. 2. The method of claim 1, wherein the one or more conditions comprise one or more of: The method includes identifying a plurality of automated vehicles, identifying a history path associated with each of the one or more automated vehicles, disagreeing between the data derived from the one or more sensors and a controlled location of the one or more automated vehicles, a relative location of the one or more automated vehicles, or a combination thereof, identifying an unexpected interval between each of the one or more automated vehicles, identifying a history path associated with each of the one or more automated vehicles, identifying an unexpected interval between each of the one or more automated vehicles, and identifying a history path between each of the one or more automated vehicles.
3. 3. The method of claim 1, wherein the analysis of the requested data comprises: a determination is made as to whether sensor outputs associated with one or more sensors of the infrastructure system match the requested data.
4. 4. The method of claim 3, wherein the performing of the one or more corrective actions is further based on a determination that the sensor output does not match the requested data.
5. 5. The method of claim 1, wherein the performing of the one or more corrective actions comprises one of: initiating one or more reset routines; Switching from a first set of one or more sensors of an infrastructure system to a second set of one or more sensors of the infrastructure system, and Causing each of the one or more automated vehicles to follow one or more movements of a preceding one of the one or more automated vehicles and a leading one of the one or more automated vehicles to follow a historical path.
6. 6. The method of claim 1, wherein the performing of the one or more corrective actions comprises: Collecting metadata associated with the object; determining one or more object-predisposed areas within the grouping environment, and Generating a suggestion to replace one or more sensors of an infrastructure system or install a second set of one or more sensors based on the determination of the one or more subject prone areas.
7. 7. A system, the system comprising: the system of the infrastructure is provided with a plurality of modules, the infrastructure system is configured to: an object in a marshalling environment is detected, Determining whether one or more conditions are met in response to the detection of the object, Transmitting a request for data originating from one or more sensors of each of the one or more automated vehicles in response to the one or more conditions being satisfied, Receiving the requested data, and Performing one or more corrective actions based on an analysis of the requested data, and One or more of the automated vehicles may be configured to automatically, the one or more automated vehicles are configured to: Receiving the request for the data originating from the one or more sensors of each of the one or more automated vehicles, and Transmitting the requested data.
8. 8. The system of claim 7, wherein the one or more automated vehicles are further configured to: Receiving one or more instructions for analyzing the data originating from the one or more sensors of each of the one or more automated vehicles in response to the one or more conditions being satisfied, and One or more results associated with the analysis of the data performed by the one or more automated vehicles are transmitted.
9. 9. The system of claim 8, wherein the infrastructure system is further configured to: Transmitting the one or more instructions for analyzing the data originating from the one or more sensors of each of the one or more automated vehicles, and The one or more results are received.
10. 10. The system of claim 8, wherein performing, by the one or more automated vehicles, the analysis of the data comprises: Analyzing one or more video recordings of the consist environment from each of the one or more automated vehicles, and The location of the object is verified based on the analysis of the one or more video recordings.
11. 11. The system of claim 7, wherein the one or more conditions include one or more of: The method includes identifying a plurality of automated vehicles, identifying a history path associated with each of the one or more automated vehicles, disagreeing between the data derived from the one or more sensors and a controlled location of the one or more automated vehicles, a relative location of the one or more automated vehicles, or a combination thereof, identifying an unexpected interval between each of the one or more automated vehicles, identifying a history path associated with each of the one or more automated vehicles, identifying an unexpected interval between each of the one or more automated vehicles, and identifying a history path between each of the one or more automated vehicles.
12. 12. The system of claim 7, wherein analyzing, by the infrastructure system, the requested data comprises: A determination is made as to whether sensor outputs associated with one or more sensors of the infrastructure system match the requested data.
13. 13. The system of claim 12, wherein the performing of the one or more corrective actions is further based on a determination that the sensor output does not match the requested data.
14. 14. The system of claim 7, wherein performing, by the infrastructure system, the one or more corrective actions comprises one of: initiating one or more reset routines; Switching from a first set of one or more sensors of the infrastructure system to a second set of one or more sensors of the infrastructure system, and Causing each of the one or more automated vehicles to follow one or more movements of a preceding one of the one or more automated vehicles and a leading one of the one or more automated vehicles to follow a historical path.
15. 15. The system of claim 7, wherein performing the one or more corrective actions by the infrastructure system comprises: Collecting metadata associated with the object; determining one or more object-predisposed areas within the grouping environment, and Generating a suggestion to replace one or more sensors of the infrastructure system or to install a second set of one or more sensors based on the determination of the one or more subject-prone areas.

Description

System and method for identifying ghost vehicles Technical Field The present disclosure relates to identifying ghost vehicles. More particularly, the present disclosure relates to identifying ghost vehicles in a ganged arrangement. Background The statements in this section merely provide background information related to the present disclosure and may not constitute prior art. Ghost vehicles or physically non-existent vehicles may be detected by infrastructure sensors in a consist setting. Detection of a ghost vehicle may disrupt the grouping of one or more vehicles because the infrastructure sensors perceive the ghost vehicle as a real vehicle, thus attempting to group the real vehicles accordingly. Thus, the detection of the ghost vehicle causes the grouping of the real vehicles to stop, so that the ghost vehicle can be correctly recognized, and the grouping of the real vehicles can be restored regardless of the recognized ghost vehicle. The present disclosure addresses these and other problems associated with identifying ghost vehicles. Disclosure of Invention This section provides a general summary of the disclosure and is not a comprehensive disclosure of its full scope or all of its features. The present disclosure provides a method comprising detecting an object in a consist environment; determining whether one or more conditions are met in response to the detection of the object; transmitting a request to one or more automated vehicles for data originating from one or more sensors of each of the one or more automated vehicles in response to the one or more conditions being satisfied, receiving the requested data from the one or more automated vehicles, and performing one or more corrective actions based on analysis of the requested data, wherein the one or more conditions include one or more of an unexpected location of the object, an inability to identify a historical path associated with each of the one or more automated vehicles, a controlled location of the one or more automated vehicles, the data originating from the one or more sensors, the one or more automated vehicles, and the one or more automated vehicles, A discrepancy between the relative positions of the one or more automated vehicles or a combination thereof; an unexpected interval between each of the one or more automated vehicles; the location of each of the one or more automated vehicles cannot be considered; and a discrepancy between a total number of automated vehicles in the one or more automation and an expected total number of automated vehicles in the one or more automated vehicles, wherein the analysis of the requested data comprises determining whether a sensor output associated with one or more sensors of an infrastructure system matches the requested data, wherein the performing of the one or more corrective actions is further based on a determination that the sensor output does not match the requested data, wherein the performing of the one or more corrective actions comprises one of initiating one or more reset routines, switching from a first set of one or more sensors of an infrastructure system to a second set of one or more sensors of the infrastructure system, and causing each of the one or more automated vehicles to follow one or more of the automated vehicles ' prior automated vehicles ' easy movement and the one or more automated vehicles ' automated movement and the one or more automated vehicle's output do not match the requested data, wherein the one or more corrective actions comprise one or more of a first-area-based on the one or more of the one or more automated vehicles's automated vehicle's system's automated vehicle ' output, and a system's automated vehicle's system ' system, wherein the one or system is a system of automated system Sensor proposals. The present disclosure provides another method comprising detecting an object in a consist environment, determining whether one or more conditions are met in response to the detection of the object, transmitting one or more instructions to one or more automated vehicles to analyze data originating from one or more sensors of each of the one or more automated vehicles in response to the one or more conditions being met, receiving from the one or more automated vehicles one or more results associated with analysis of the data performed by the one or more automated vehicles, and performing one or more corrective actions based on the one or more results associated with the analysis of the data, wherein the one or more conditions include one or more of an unexpected location of the object, an inability to identify a path associated with each of the one or more automated vehicles, the one or more sensor-originated data from the one or more automated vehicles, and a controlled location of the one or more automated vehicles, A discrepancy between the relative positions of the one or more automated vehicles or a combination thereof; an unexpected interval between