Vehicle image data management system and method
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
H04N-007/18
G06K-009/62
G06K-009/00
B61L-023/04
출원번호
US-0485398
(2014-09-12)
등록번호
US-10049298
(2018-08-14)
발명자
/ 주소
Kraeling, Mark Bradshaw
Azam, Anwarul
Blair, Matthew Lawrence
Clouse, Shannon Joseph
출원인 / 주소
General Electric Company
대리인 / 주소
GE Global Patent Operation
인용정보
피인용 횟수 :
0인용 특허 :
94
초록▼
An image management system includes a controller and one or more analysis processors. The controller is configured to receive search parameters that specify at least one of operational data or a range of operational data of one or more vehicle systems. The one or more analysis processors are configu
An image management system includes a controller and one or more analysis processors. The controller is configured to receive search parameters that specify at least one of operational data or a range of operational data of one or more vehicle systems. The one or more analysis processors are configured to search remotely stored image data based on the search parameters to identify matching image data. The remotely stored image data was obtained by one or more imaging systems disposed onboard the one or more vehicle systems, and are associated with the operational data of the one or more vehicle systems that was current when the remotely stored image data was acquired. The one or more analysis processors also are configured to obtain the matching image data having the operational data specified by the search parameters and to present the matching image data to an operator.
대표청구항▼
1. A system comprising: a controller configured to receive search parameters, the search parameters specifying at least one of operational data or a range of the operational data of one or more vehicle systems; andone or more analysis processors configured to search remotely stored image data in a m
1. A system comprising: a controller configured to receive search parameters, the search parameters specifying at least one of operational data or a range of the operational data of one or more vehicle systems; andone or more analysis processors configured to search remotely stored image data in a memory of the one or more vehicle systems based on the search parameters to identify matching image data, the remotely stored image data obtained by one or more imaging systems disposed onboard the one or more vehicle systems and stored in the memory of the one or more vehicle systems, the remotely stored image data associated with the operational data of the one or more vehicle systems that was current when the remotely stored image data was acquired, wherein the one or more analysis processors also are configured to obtain the matching image data having the operational data specified by the search parameters and to present the matching image data to an operator. 2. The system of claim 1, wherein the remotely stored image data is remotely stored onboard one or more vehicles of the one or more vehicle systems that do not include the one or more analysis processors. 3. The system of claim 1, wherein the controller and one or more analysis processors are located off board the one or more vehicle systems at an off-board facility. 4. The system of claim 1, wherein the remotely stored image data is embedded with the operational data that was current for the one or more vehicle systems when the remotely stored image data was acquired. 5. The system of claim 1, wherein the operational data includes one or more throttle settings, brake settings, amounts of fuel carried by the one or more vehicle systems, or amounts of electric energy stored onboard the one or more vehicle systems. 6. The system of claim 1, wherein the operational data includes operational conditions to which the one or more vehicle systems were exposed when the remotely stored image data was acquired. 7. The system of claim 1, wherein the operational data includes at least one of locations of the one or more vehicle systems when different segments of the remotely stored image data were acquired, times at which the different segments of the remotely stored image data were acquired, or dates on which the different segments of the remotely stored image data were acquired. 8. The system of claim 1, wherein the controller is configured to receive at least one of an operator specified location, an operator specified time, an operator specified range of times, an operator specified date, or an operator specified range of dates as the search parameters, and the one or more analysis processors are configured to search the operational data associated with the remotely stored image data to select one or more segments of the remotely stored image data that were acquired at the at least one of the operator specified location, the operator specified time, the operator specified range of times, the operator specified date, or the operator specified range of dates as the matching image data. 9. The system of claim 1, wherein the one or more analysis processors are configured to identify the matching image data by determining which of the remotely stored image data are associated with the operational data that matches or more closely matches the search parameters more than other remotely stored image data. 10. A method comprising: receiving search parameters that specify at least one of operational data or a range of the operational data of one or more vehicle systems;searching, with one or more processors, remotely stored image data in a memory of the one or more vehicle systems based on the search parameters to identify matching image data, the remotely stored image data obtained by one or more imaging systems disposed onboard the one or more vehicle systems and stored in the memory of the one or more vehicle systems, the remotely stored image data associated with the operational data of the one or more vehicle systems that was current when the remotely stored image data was acquired; andobtaining the matching image data having the operational data specified by the search parameters to present the matching image data to an operator. 11. The method of claim 10, wherein the remotely stored image data is remotely stored from the one or more processors. 12. The method of claim 10, wherein the remotely stored image data is searched by examining the operational data that is embedded in the remotely stored image data and that was current for the one or more vehicle systems when the remotely stored image data was acquired. 13. The method of claim 10, wherein the operational data includes one or more throttle settings, brake settings, amounts of fuel carried by the one or more vehicle systems, or amounts of electric energy stored onboard the one or more vehicle systems. 14. The method of claim 10, wherein the operational data includes operational conditions to which the one or more vehicle systems were exposed when the remotely stored image data was acquired. 15. The method of claim 10, wherein the operational data includes at least one of locations of the one or more vehicle systems when different segments of the remotely stored image data were acquired, times at which the different segments of the remotely stored image data were acquired, or dates on which the different segments of the remotely stored image data were acquired. 16. The method of claim 10, wherein the search parameters that are received include at least one of an operator specified location, an operator specified time, an operator specified range of times, an operator specified date, or an operator specified range of dates. 17. The method of claim 16, wherein the remotely stored image data is searched by examining the operational data associated with the remotely stored image data to select one or more segments of the image data that were acquired at the at least one of the operator specified location, the operator specified time, the operator specified range of times, the operator specified date, or the operator specified range of dates as the matching image data. 18. The method of claim 10, wherein the matching image data is identified by determining which of the matching image data are associated with the operational data that matches or more closely matches the search parameters more than other matching image data. 19. The system of claim 1, wherein the one or more image analysis processors are configured to receive the search parameters that are associated with one or more of a location or a time of an accident involving at least one of the vehicle systems, wherein the one or more image analysis processors also are configured to obtain the remotely stored image data that was obtained at the one or more of the location or the time of the accident from a camera disposed onboard the one or more vehicle systems. 20. The system of claim 1, wherein the operational data is separate from the image data, and wherein the operational data includes neither images nor video associated with the one or more vehicle systems. 21. The method of claim 10, wherein the search parameters that are received are associated with one or more of a location or a time of an accident involving at least one of the vehicle systems, and wherein searching the remotely stored image data includes obtaining the remotely stored image data that was obtained at the one or more of the location or the time of the accident from a camera disposed onboard the one or more vehicle systems.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (94)
Lagassey,Paul J., Advanced automobile accident detection, data recordation and reporting system.
Puckette, IV, Charles McDonald; Tomlinson, Jr., Harold Woodruff; Hershey, John Erik; Hladik, Stephen Michael, Apparatus and method for rail track inspection.
Petit William A. (Spencerport NY) Maderer George G. (Rochester NY) Macano Samuel J. (Macedon NY) Hoelscher James R. (Rochester NY), Automatic vehicle control and location system.
Gorr Russell E. ; Hancock Thomas R. ; Judd J. Stephen ; Lin Long-Ji ; Novak Carol L. ; Rickard ; Jr. Scott T., Method and apparatus for automatically tracking the location of vehicles.
Farritor,Shane; Arnold,Richard; Norman,Chris, Method and apparatus for noncontact relative rail displacement, track modulus and stiffness measurement by a moving rail vehicle.
Kumar, Ajith Kuttannair; Daum, Wolfgang; Otsubo, Tom; Hershey, John Erik; Hess, Gerald James, Method and apparatus for optimizing a train trip using signal information.
Arthur, Richard Brownell; Lorensen, William Edward; LaBlanc, Michael Robert; Barnett, Janet Arlie; Kornfein, Mark Mitchell; Forman, Douglas Roy; Houpt, Paul Kenneth, Method and apparatus for vehicle management.
Bhotika, Rahul; Mendonca, Paulo Ricardo dos Santos; Rittscher, Jens; Sebastian, Thomas Baby, Method and system for detecting signal color from a moving video platform.
Duggan, David S.; Felio, David A.; Pate, Billy B.; Longhi, Vince R.; Petersen, Jerry L.; Bergee, Mark J., Multi-sensor autonomous control of unmanned aerial vehicles.
Fasching George E. (Morgantown WV) Smith ; Jr. Nelson S. (Morgantown WV), Phased-array ultrasonic surface contour mapping system and method for solids hoppers and the like.
Moehlenbrink Wolfgang,DEX ; Moehrke Gerd,DEX ; Boese Peter,DEX, Process and arrangement for determining the position of at least one point of a track-guided vehicle.
Wallace Charles C. (1925 McDowling Dr. Huntsville AL 35803) Swanson Charles P. (102 Calhoun St. Huntsville AL 35801), Robotic railroad accident prevention vehicle and associated system elements.
Davenport, David Michael; Bhotika, Rahul; Hershey, John Erik; Mitchell, Robert James; Andarawis, Emad Andarawis; Welles, Kenneth Brakeley, System and method for determining whether a locomotive or rail engine is coupled to a rail car or other engine.
Nagle, II, John Anthony; Villar, Christopher M.; Orrell, Steven C.; Aaron, Charles Wayne, System and method for inspecting surfaces using optical wavelength filtering.
Cooper, Jared Klineman; Smith, Eugene A.; Nagrodsky, Nick David; Schoonmaker, William Cherrick; Goodermuth, Todd William, System and method for vehicle communication, vehicle control, and/or route inspection.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.