Method and system for sharing parking space availability among autonomous vehicles
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G08G-001/14
G01C-021/30
G06Q-010/02
G06Q-030/02
출원번호
US-0407075
(2017-01-16)
등록번호
US-9984572
(2018-05-29)
발명자
/ 주소
Newman, Austin L.
출원인 / 주소
NIO USA, Inc.
대리인 / 주소
Sheridan Ross P.C.
인용정보
피인용 횟수 :
1인용 특허 :
203
초록
Systems of an electrical vehicle and the operations thereof are provided that identify parking spaces by on board sensors and negotiate with other currently parked vehicles for parking space access.
대표청구항▼
1. A vehicle, comprising: a vehicle interior for receiving one or more occupants;a plurality of sensors to collect sensed information associated with the vehicle interior and exterior of the vehicle;an automatic vehicle location system to determine a current spatial location of the vehicle;a compute
1. A vehicle, comprising: a vehicle interior for receiving one or more occupants;a plurality of sensors to collect sensed information associated with the vehicle interior and exterior of the vehicle;an automatic vehicle location system to determine a current spatial location of the vehicle;a computer readable medium to store an autonomous driving agent to operate autonomously vehicle operations; anda microprocessor, coupled to the plurality of sensors, automatic vehicle location system, and computer readable medium, that, while executing the autonomous driving agent operating at a full automation level, one or more of (a) identifies a parking space and forwards parking information associated with the parking space to a navigation source or nearby vehicle and (b) negotiates with another autonomous driving agent of a currently parked vehicle for access to the parking space occupied by the currently parked vehicle, the autonomous driving agent of the currently parked vehicle operating at the full automation level, wherein in the full automation level an autonomous driving agent of a vehicle, based on vehicle sensor feedback, constructs a three-dimensional map in spatial proximity to the vehicle that identifies and spatially locates nearby animate and inanimate objects and parking spaces. 2. The vehicle of claim 1, wherein the microprocessor performs operation (a), wherein in the full automation level the microprocessor drives the vehicle with no human interaction, wherein the parking space is currently unoccupied, and wherein the microprocessor identifies the parking space by identifying an absence of an object in the parking space as the vehicle drives past the parking space. 3. The vehicle of claim 2, wherein the microprocessor forwards parking information related to the identified currently unoccupied parking space to a navigation source, wherein the parking information comprises the location of the currently unoccupied parking space and one or more of a required parking priority level to use the parking space, a financial cost to use the parking space, a legal requirement regarding the days and hours when parking in the parking space is permitted, a maximum time allowed for parking in the parking space, a vehicle type or size suitable for the parking space, an access limitation or requirement for the parking space, and an indication whether or not the parking space is reserved and a reservation requirement, and wherein the navigation source includes at least some of the parking information in an auxiliary data field of navigation information provided to other vehicles, wherein the autonomous driving agent combines navigation information from the navigation source with the vehicle sensor feedback to construct the three-dimensional map, wherein the three-dimensional map comprises auxiliary data attached to an entity or attribute, the auxiliary data comprising the parking information. 4. The vehicle of claim 1, wherein the microprocessor performs operation (b), wherein in the full automation level the microprocessor drives the vehicle in the absence of human interaction, wherein the microprocessor sends a request to a nearby vehicle/or navigation source or control source that the vehicle requires a parking space, and wherein the request comprises one or more of a parking priority level of the vehicle, a length of time or duration that the parking space will be occupied by the vehicle, an identity of the operator or owner of the vehicle, a state of charge of an energy storage unit in the vehicle, and a purpose of or reason for the vehicle occupying the parking space. 5. The vehicle of claim 4, wherein the other autonomous driving agent of the currently parked vehicle has a lower parking priority level than the vehicle or the currently parked vehicle has a higher state of charge of an energy storage unit than the vehicle and wherein, as a result, the currently parked vehicle vacates the parking space to be occupied by the vehicle. 6. The vehicle of claim 5, wherein the autonomous driving agent agrees to compensate the owner or operator of the currently parked vehicle in exchange for the currently parked vehicle vacating the parking space to be occupied by the vehicle and wherein an level of operation of the autonomous driving agent is at least level 2 or higher. 7. The vehicle of claim 4, wherein the request comprises a geographical area in which the autonomous driving agent desires a parking space, wherein the autonomous driving agent combines navigation information from the navigation source with the vehicle sensor feedback to construct the three-dimensional map, wherein the three-dimensional map comprises auxiliary data attached to an entity or attribute, the auxiliary data comprising the parking information, and wherein a flag indicates the existence of embedded parking information in the three dimensional map. 8. A method, comprising: in a vehicle having a vehicle interior for receiving one or more occupants; a plurality of sensors to collect sensed information associated with the vehicle interior and exterior of the vehicle; an automatic vehicle location system to determine a current spatial location of the vehicle; a computer readable medium to store an autonomous driving agent to operate autonomously vehicle operations; and a microprocessor, coupled to the plurality of sensors, automatic vehicle location system, and computer readable medium, performing one or more of (a) while executing the autonomous driving agent operating at a full automation level, identifying a parking space and forwarding parking information associated with the parking space to a navigation source or nearby vehicle and (b) while executing the autonomous driving agent operating at a full automation level, negotiating with another autonomous driving agent of a currently parked vehicle for access to the parking space occupied by the currently parked vehicle, the autonomous driving agent of the currently parked vehicle operating at the full automation level, wherein in the full automation level an autonomous driving agent of a vehicle, based on vehicle sensor feedback, constructs a three-dimensional map in spatial proximity to the vehicle that identifies and spatially locates nearby animate and inanimate objects and parking spaces. 9. The method of claim 8, wherein the microprocessor identifies a parking space and forwards parking information associated with the parking space to a navigation source or nearby vehicle, wherein in the full automation level the microprocessor drives the vehicle with no human interaction, wherein the parking space is currently unoccupied, and wherein the microprocessor identifies the parking space by identifying an absence of an object in the parking space as the vehicle drives past the parking space. 10. The method of claim 9, wherein the microprocessor forwards parking information related to the identified currently unoccupied parking space to a navigation source, wherein the parking information comprises the location of the currently unoccupied parking space and one or more of a required parking priority level to use the parking space, a financial cost to use the parking space, a legal requirement regarding the days and hours when parking in the parking space is permitted, a maximum time allowed for parking in the parking space, a vehicle type or size suitable for the parking space, an access limitation or requirement for the parking space, and an indication whether or not the parking space is reserved and a reservation requirement, and wherein the navigation source includes at least some of the parking information in an auxiliary data field of navigation information provided to other vehicles, wherein the autonomous driving agent combines navigation information from the navigation source with the vehicle sensor feedback to construct the three-dimensional map, wherein the three-dimensional map comprises auxiliary data attached to an entity or attribute, the auxiliary data comprising the parking information. 11. The method of claim 8, wherein the microprocessor negotiates with another autonomous driving agent of a currently parked vehicle for access to the parking space occupied by the currently parked vehicle, wherein in the full automation level the microprocessor drives the vehicle in the absence of human interaction, wherein the microprocessor sends a request to a nearby vehicle/or navigation source or control source that the vehicle requires a parking space, and wherein the request comprises one or more of a parking priority level of the vehicle, a length of time or duration that the parking space will be occupied by the vehicle, an identity of the operator or owner of the vehicle, a state of charge of an energy storage unit in the vehicle, and a purpose of or reason for the vehicle occupying the parking space. 12. The method of claim 11, wherein the other autonomous driving agent of the currently parked vehicle has a lower parking priority level than the vehicle or the currently parked vehicle has a higher state of charge of an energy storage unit than the vehicle and wherein, as a result, the currently parked vehicle vacates the parking space to be occupied by the vehicle. 13. The method of claim 12, wherein the autonomous driving agent agrees to compensate the owner or operator of the currently parked vehicle in exchange for the currently parked vehicle vacating the parking space to be occupied by the vehicle and wherein an level of operation of the autonomous driving agent is at least level 2 or higher. 14. The method of claim 11, wherein the request comprises a geographical area in which the autonomous driving agent desires a parking space, wherein the autonomous driving agent combines navigation information from the navigation source with the vehicle sensor feedback to construct the three-dimensional map, wherein the three-dimensional map comprises auxiliary data attached to an entity or attribute, the auxiliary data comprising the parking information, and wherein a flag indicates the existence of embedded parking information in the three dimensional map. 15. A navigation source, comprising: a map database comprising a plurality of maps, the plurality of maps comprising an auxiliary data field;a map database manager, coupled to the map database, to manage the map database; anda microprocessor to execute the map database manager, wherein the map database manager receives parking information collected by autonomous vehicles while operating at a full automation level in which a microprocessor drives the vehicle with no human interaction and incorporates the parking information in the auxiliary data field in the plurality of maps for access by other vehicles, wherein in the full automation level an autonomous driving agent of a vehicle, based on vehicle sensor feedback, constructs a three-dimensional map in spatial proximity to the vehicle that identifies and spatially locates nearby animate and inanimate objects and parking spaces. 16. The navigation source of claim 15, wherein an autonomous vehicle identifies a parking space as the vehicle passes the parking space and wherein the parking space is currently unoccupied, wherein the vehicle identifies the parking space by identifying an absence of an object in the parking space and wherein the autonomous driving agent combines navigation information from the navigation source with the vehicle sensor feedback to construct the three-dimensional map, wherein the three-dimensional map comprises auxiliary data attached to an entity or attribute, the auxiliary data comprising the parking information. 17. The navigation source of claim 16, wherein in the full automation level the microprocessor drives the vehicle in the absence of human interaction, and wherein the parking information comprises the location of the currently unoccupied parking space and one or more of a required parking priority level to use the parking space, a financial cost to use the parking space, a legal requirement regarding the days and hours when parking in the parking space is permitted, a maximum time allowed for parking in the parking space, a vehicle type or size suitable for the parking space, an access limitation or requirement for the parking space, and an indication whether or not the parking space is reserved and a reservation requirement. 18. The navigation source of claim 15, wherein the autonomous driving agent combines navigation information from the navigation source with the vehicle sensor feedback to construct the three-dimensional map, wherein the three-dimensional map comprises auxiliary data attached to an entity or attribute, the auxiliary data comprising the parking information, and wherein a flag indicates the existence of embedded parking information in the three dimensional map. 19. The navigation source of claim 15, wherein a second autonomous driving agent of a currently parked second vehicle has a lower parking priority level than a first autonomous driving agent of a first vehicle or the currently parked second vehicle has a higher state of charge of an energy storage unit than the first vehicle and wherein, as a result, the navigation source commands the currently parked second vehicle to vacate the parking space to be occupied by the first vehicle. 20. The navigation source of claim 15, wherein the navigation source receives a request from a first vehicle that the first vehicle requires a parking space and wherein the request comprises one or more of a parking priority level of the first vehicle, a length of time or duration that the parking space will be occupied by the first vehicle, an identity of the operator or owner of the first vehicle, a state of charge of an energy storage unit in the first vehicle, and a purpose of or reason for the first vehicle occupying the parking space.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (203)
McWalter,William F.; Kelly,Lisa M.; Decristo,Dianna L.; Razavi,Behfar, Abstract user interface manager with prioritization.
Abrams, Vincent D.; Izzard, III, Alexander Edwin; Cunningham, Glen; Parker, Kenneth R.; Woods, Timothy E., Appliance communication and control system and appliances for use in same.
Berenz, John J.; McIver, George W.; Niesen, Joseph W.; Dunbridge, Barry; Shreve, Gregory A., Application of human facial features recognition to automobile safety.
Clanton,Charles H.; Ventrella,Jeffrey J.; Paiz,Fernando J., Cinematic techniques in avatar-centric communication during a multi-user online simulation.
Kent Fillmore Hayes, Jr. ; Brett Graham King, Client-server system for maintaining a user desktop consistent with server application user access permissions.
Ohta Takashi,JPX ; Iwatsuki Kunihiro,JPX ; Fukumura Kagenori,JPX, Control system for controlling the behavior of a vehicle based on accurately detected route information.
Aaron, Jeffrey; Streijl, Robert, Devices, methods, and computer-readable media for providing sevices based upon identification of decision makers and owners associated with communication services.
Ashihara, Jun, Driver authentication apparatus and method for identifying automatically-extracted driver's operation feature data with already-registered feature data.
Lepley, Geoffrey Peter; Miles, Dean Anthony; Gallichan, Kevin Langley; Robberts, Nicholas James, Dual-function removable reversable unit for radio and telephone.
Kashima, Koji; Sakaguchi, Tatsumi; Oryoji, Hiroshi; Eshima, Masashi, Electronic apparatus, reproduction control system, reproduction control method, and program therefor.
Leising Maurice B. (Clawson MI) Benford Howard L. (Bloomfield Hills MI) Holbrook Gerald L. (Rochester Hills MI), Electronically-controlled, adaptive automatic transmission system.
Filev, Dimitar Petrov; Gusikhin, Oleg Yurievitch; Syed, Fazal Urrahman; Klampfl, Erica; Giuli, Thomas J.; Chen, Yifan, Emotive engine and method for generating a simulated emotion for an information system.
Chatham Michael D. (Bloomington IL) Fotsch Paul D. (Dunlap IL) Heyveld Doyle G. (Peoria IL) Kelley Edward P. (Chillicothe IL) Lohmann ; Jr. Walter E. (Decatur IL) Roley David R. (Morton IL) Sieck Cha, Fatigue analysis and warning system.
Waeller, Christoph; Wu, Yongmei; Bohnenberger, Thorsten, Information device, preferably in a motor vehicle, and method for supplying information about vehicle data, in particular vehicle functions and their operation.
Shuman, Valerie; Paulauskas, Cynthia; Shields, T. Russell; Weiland, Richard J.; Jasper, John C., Method and system for an in-vehicle computing architecture.
Cataldo, Anthony Joseph; Haggerty, Terry; Ubik, Henry Thomas; Patel, Mona; Harrington, Tim; Bacon, Tom; Wisherd, Dave; Bowman, Doug, Method and system for capturing vehicle data using an RF transmitter.
Uyeki, Robert; Tamura, Kazuya; Ohki, Eric Shigeru; Kurciska, Maja, Method and system for using traffic flow data to navigate a vehicle to a destination.
McLaughlin Paul F. (Hatfield PA) Bristow Robert W. (Hatboro PA) Kummer Karl T. (Doylestown PA), Method for enacting failover of a 1:1 redundant pair of slave processors.
Davis, Terry L., Method to use empty slots in onboard aircraft servers and communication devices to install non-proprietary servers and communications interfaces.
Rhoads, Geoffrey B.; Rodriguez, Tony F.; Lord, John D.; MacIntosh, Brian T.; Rhoads, Nicole; Conwell, William Y., Methods and systems for content processing.
Penilla, Angel A.; Penilla, Albert S., Methods and systems for defining vehicle user profiles and managing user profiles via cloud systems and applying learned settings to user profiles.
Baldas Jason Paul ; Simpson Tracy Lee ; Ohashi Hitoshi ; Morrison Gerald Oscar ; Alfano Gregory W. ; Palaski William Edwin ; George Richard David ; Avram Eileen Marie, Overhead console for motor vehicle.
Carnevali, Jeffrey D., Reconfigurable console mount having a plurality of interchangeable tongue-and-groove blank and equipment mounting panels and quick disconnect clamps.
Addepalli, Sateesh K.; Dai, Lillian Lei; Sudhaakar, Raghuram S.; Somers, Robert Edward, System and method for establishing communication channels between on-board unit of vehicle and plurality of nodes.
Addepalli, Sateesh K.; Moghe, Ashok K.; Bonomi, Flavio; Girardot, Marc Jean-Philippe; Thubert, Pascal, System and method for internal networking, data optimization and dynamic frequency selection in a vehicular environment.
Jensen, Peter Strarup; Veselov, Pavel S.; Ayyagari, Venkata S.; Grigoryev, Nikolay G., System and method for managing and deploying functional services to a vehicle client.
Van Wiemeersch, John Robert; Kleve, Robert Bruce; Schondorf, Steven Yellin; Miller, Thomas Lee; Bennie, Brian; Kwon, Dae Wook; Aldighieri, Paul, System and method for remotely controlling vehicle components from a nomadic communication device or computer.
Tomkins, Steve; Dodge, Dan; Van Der Veen, Peter; Tang, Xiaodan; Burgess, Colin, System having user interface using motion based object selection and mouse movement.
Michmerhuizen,Mark; Syfert,Timothy J.; Spencer,John D.; Strazanac,Joseph W., System, method and device for providing communication between a vehicle and a plurality of wireless devices having different communication standards.
Jackson, Dean Kenneth; Klein, Daniel Victor, Systems and methods for updating vehicle behavior and settings based on the locations of vehicle passengers.
Sanders Rudy T. (9520 Rhea Ave. Northridge CA 91324) Fleishman Lee (2169 Brookfield Dr. Thousand Oaks CA 91362), User identifying vehicle control and security device.
Shaw David C. H. (3312 E. Mandeville Pl. Orange CA 92667) Shaw Judy Z. Z. (3312 E. Mandeville Pl. Orange CA 92667), Vehicle collision avoidance system.
Zyburt Jeffrey P. ; Cowan Allan L. ; Grimaudo Donald W. ; Shaffer Frederick J. ; Muzzell Jeffrey ; Nelson James G. ; Gu Zhengang ; Frinkle Marvin L. ; Robinson David T. ; Zuo Kai, Vehicle control system for automated durability road (ADR) facility.
Sato Koji (Mishima JPX) Morita Makoto (Mishima JPX) Kizu Masafumi (Toyota JPX), Vehicle data processing system which can communicate with information center.
Filippov, Mikhail O.; Fitch, Osa; Keller, Scott P.; O'Connor, John; Zendzian, David S.; El Fata, Nadim; Larsen, Kevin; Meuchel, Arlen Eugene; Schmaltz, Mark David; Allard, James; De Roo, Chris A.; Norris, William Robert; Norby, Andrew Julian; Turner, Christopher David Glenn, Versatile robotic control module.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.