Method and apparatus for providing goal oriented navigational directions

Abstract

A method or system is able to refine Global Positioning System (“GPS”) information for guiding a vehicle via extracted metadata using a GPS refinement (“GR”) model managed by a virtuous cycle containing sensors, machine learning center (“MLC”), and a cloud based network (“CBN”). The GR system includes a set of outward facing cameras, a vehicle onboard computer (“VOC”), and GR model. The outward facing cameras mounted on a vehicle are capable of collecting external images representing a surrounding environment in which the vehicle operates. The VOC is configured to generate a positional vehicle location with respect to the surrounding environment in accordance with the external images and historical stored data obtained from CBN. The GR model is configured to generate a driving guidance based on combined information between the positional vehicle location and GPS data.

What is claimed is: 
     
         1 . A method for goal oriented navigational guidance via metadata extraction utilizing a virtuous cycle including sensors, machine learning center (“MLC”), and cloud-based network (“CBN”), comprising:
 detecting a vehicle approaching a preset destination in accordance with information obtained from a Global Positioning System (“GPS”) navigation system; 
 signaling at least a portion of outward facing cameras mounted to the vehicle for capturing external images representing a surrounding environment in which the vehicle operates; 
 obtaining, from the virtuous cycle, parking options nearby the preset destination in accordance with present time, traffic condition, and events; and 
 displaying parking options via a parking compass of the GPS navigation system to inform a driver of the vehicle about potential locations for parking. 
 
     
     
         2 . The method of  claim 1 , further comprising presenting a probability of available parking spaces on the parking compass based on which direction the vehicle turns. 
     
     
         3 . The method of  claim 1 , further comprising changing predefined modalities set by the GPS navigation system to proceed looking for a nearby parking space based on a direction shown by the parking compass. 
     
     
         4 . The method of  claim 1 , further comprising activating a GPS refinement (“GR”) model connected to the vehicle, MLC, and CBN to generate a search path near the preset destination for parking spaces. 
     
     
         5 . The method of  claim 1 , further comprising uploading the external images from a vehicle onboard computer (“VOC”) to the virtuous cycle via a wireless communication network. 
     
     
         6 . The method of  claim 1 , wherein detecting a vehicle approaching a preset destination includes determining whether the preset destination provides parking in accordance with historical data from the CBN associated with the preset destination. 
     
     
         7 . The method of  claim 1 , wherein signaling at least a portion of outward facing cameras includes signaling audio sensors to record audio data from the surrounding environment in which the vehicle operates. 
     
     
         8 . The method of  claim 1 , wherein obtaining, from the virtuous cycle, parking options includes receiving a suitable parking spot nearby the preset destination in accordance with street safety, weather condition, parking pricing, likely availability of parking, or neighborhood crime rate. 
     
     
         9 . A method for managing crowd source data facilitated by a crowd source data (“CD”) model communicatively coupled to a virtuous cycle containing sensors, a machine learning center (“MLC”), and a cloud-based network (“CBN”), comprising:
 receiving an incentive message from a CD model requesting a vehicle to pass through a location for collecting real-time video associated with the location; 
 signaling at least a portion of outward facing cameras mounted to the vehicle for capturing external real-time images representing a surrounding environment containing the location through or by which the vehicle passes; 
 uploading the external real-time images to cloud-based processors to process and categorize captured real-time image information for a geographic area including the location; and 
 forwarding a report describing a monitoring record of the location to a subscriber. 
 
     
     
         10 . The method of  claim 9 , further comprising creating a bidding process for receiving incentives for driving through the location. 
     
     
         11 . The method of  claim 9 , further comprising rerouting trips to cover the location on a regular basis.