US2016047662A1PendingUtilityA1
Proactive machine learning in a vehicular environment
Est. expiryMar 14, 2032(~5.6 yrs left)· nominal 20-yr term from priority
Inventors:Christopher P. Ricci
H04W 12/06H04L 67/34H04W 4/80G08B 25/016G06F 2203/04803H04N 21/6408G06Q 30/0645G09G 5/37G08B 21/06A61B 5/0077G06F 16/252G08G 1/096775A61B 5/742H04W 76/19H04N 7/181H04W 4/12G01C 21/26G06F 16/951G06Q 10/20H04W 84/18G01C 21/365G08G 1/096811B60W 2050/0067G06F 16/25G06F 3/0482G06F 21/32G06F 16/583G06Q 30/0265G01C 21/3691G06F 21/00G08G 1/096741H04N 21/25816G06F 9/451H04N 21/2393G08G 1/096725B60R 11/04G06Q 30/012B60Q 1/52A61B 5/6808H04L 67/306H04W 4/40H04W 4/21H04W 4/70G08B 29/188G06Q 10/02H04L 67/12A61B 7/04B60H 1/00742H04L 67/10G06F 21/31G01C 21/3484G08B 13/19647H04N 21/2265G06Q 30/0641G06F 3/04886G06Q 30/0633H04N 21/454G01C 21/362B60R 25/257A61B 2503/04G08B 21/18B60R 25/01B60R 25/00B60W 50/085B60R 25/1004G01S 19/42G06F 16/183H04L 51/02H04N 21/43615G06Q 30/0639G06F 3/017G08G 1/164H04W 4/30G08G 1/207G05D 23/1917H04N 21/41422G06Q 10/00G07C 5/02G06F 3/0637H04W 48/04H04N 21/43637G08G 1/096805G09G 2380/10G06F 3/0488G08G 1/096844B60R 25/25H04N 21/64322G06Q 30/00B60Q 9/00H04W 4/48G08G 1/07G06F 3/0622H04W 36/34G08G 1/0968H04W 76/11B60W 50/14G08G 1/01B60R 25/2081H04W 4/60H04N 21/2225G06F 3/0673G08B 21/0205A61B 5/4809B60R 25/20G06F 16/24575G02B 27/0093G06F 3/04842G06Q 30/0266G06F 3/0481B60C 1/00H04L 63/102G06F 3/013H04L 63/0236B60R 25/102B60W 50/10H04W 4/021H04W 84/005G01C 21/3667G01C 21/3697H04L 63/0428A61B 5/7405B60W 2050/0085B60K 35/85B60K 35/22B60K 35/81B60K 35/28B60K 35/10H05K 3/0005G06F 21/44B60K 2360/741B60K 35/65G06F 30/39G06F 30/398G06F 30/392G01C 21/34B60N 2/0244G05D 1/43G05D 1/223G05D 1/247B60N 2220/20B60N 2210/40B60N 2210/22B60N 2230/00B60N 2/0279B60N 2/0273B60N 2210/18B60Q 1/544B60Q 1/507H04L 67/55G06V 20/59G06V 40/20G06V 40/15G06V 40/166G06V 40/28G06V 20/593G06V 40/168G06V 40/16G06V 40/172Y02A90/10H04W 12/68H04W 12/088H04W 36/0005G06Q 20/321G06Q 20/308G06Q 20/386G06Q 20/384B60K 2360/11B60K 35/20B60K 2360/146G06Q 50/40G05D 1/0016G05D 1/0276G07C 9/00563G07C 5/08G07C 5/0825G07C 5/0833
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Claims
Abstract
Methods and systems for an improved navigation environment are provided. The navigation system can route users to preferred locations based on user profile data and past experience with the present driver and other drivers. The system provides more cost-effective and time-sensitive routing by incorporating other information about destinations. Further, the navigation system provides enhanced guidance in foreign or unfamiliar locations by incorporating experience from other drivers and other data.
Claims
exact text as granted — not AI-modified1 - 20 . (canceled)
21 . A method for providing navigation information for a conveyance, comprising:
a vehicle control system, including a processor, receiving route information for two or more routes; the vehicle control system interrogating the route information; the vehicle control system storing the interrogated route information locally with the conveyance; the vehicle control system retrieving the interrogated route information; the vehicle control system receiving sensor information from one or more sensors of the conveyance, the sensor information including contextual data and vehicle state information; and the vehicle control system generating a route based on the interrogated route information and the sensor information.
22 . The method of claim 21 , further comprising the vehicle control system determining if the interrogated route information should be stored remotely.
23 . The method of claim 22 , further comprising the vehicle control system storing the interrogated route information remotely away from the conveyance.
24 . The method of claim 23 , further comprising the vehicle control system suggesting the route to a user based on the interrogated route information and the sensor information.
25 . The method of claim 21 , wherein at least one route was generated by a navigation system.
26 . The method of claim 25 , wherein the interrogation route information includes one or more of a destination, an origin, a route travelled.
27 . The method of claim 26 , wherein the interrogation route information is stored remotely if deemed useful.
28 . The method of claim 27 , wherein the suggested route includes a location for a shop or business where the user may desire to buy a product, based on preference in a user profile associated with the user.
29 . The method of claim 28 , wherein the suggested route is created from routes driven by other drivers.
30 . The method of claim 28 , wherein the interrogation route information is stored in cloud storage.
31 . A conveyance comprising:
a processor operable to execute one or more modules, the modules comprising:
a route interrogation module operable to:
receive route information for two or more routes;
interrogate the route information;
store the interrogated route information locally with the conveyance;
a route suggestion module operable to:
retrieve the interrogated route information;
receive sensor information from one or more sensors of the conveyance, the sensor information including contextual data and vehicle state information; and
generate a route based on the interrogated route information and the sensor information.
32 . The conveyance of claim 31 , wherein the route interrogation module is further operable to:
determine if the interrogated route information should be stored remotely; and store the interrogated route information remotely away from the conveyance.
33 . The conveyance of claim 31 , wherein the route interrogation module is further operable to suggest the route to a user based on the interrogated route information, wherein at least one route was generated by a navigation system, and wherein the interrogation route information includes one or more of a destination, an origin, a route travelled.
34 . The conveyance of claim 33 , wherein the suggested route includes a location for a shop or business where the user may desire to buy a product, based on preference in a user profile associated with the user, and wherein the interrogation route information is stored in cloud storage.
35 . The conveyance of claim 34 , wherein the suggested route is created from routes driven by other drivers.
36 . A non-transitory computer readable medium stored on a storage medium and having instructions that when executed by a processor cause the processor to perform a method, the instructions comprising:
instructions to receive route information for two or more routes; instructions to interrogate the route information; instructions to store the interrogated route information locally with the conveyance; instructions to retrieve the interrogated route information; instructions to receive sensor information from one or more sensors of the conveyance, the sensor information including contextual data and vehicle state information; and instructions to generate a route based on the interrogated route information and the sensor information.
37 . The computer readable medium of claim 36 , further comprising:
instructions to determine if the interrogated route information should be stored remotely; and instructions to store the interrogated route information remotely away from the conveyance.
38 . The computer readable medium of claim 36 , further comprising instructions to suggest the route to a user based on the interrogated route information, wherein at least one route was generated by a navigation system, and wherein the interrogation route information includes one or more of a destination, an origin, a route travelled.
39 . The computer readable medium of claim 38 , wherein the suggested route includes a location for a shop or business where the user may desire to buy a product, based on preference in a user profile associated with the user, and wherein the interrogation route information is stored in cloud storage.
40 . The computer readable medium of claim 39 , wherein the suggested route is created from routes driven by other drivers.Join the waitlist — get patent alerts
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