IP Library Patent Application 16708123
Patent Application
App. No. 16/708,123

METHOD AND APPARATUS FOR PROVIDING GOAL ORIENTED NAVIGATIONAL DIRECTIONS

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Quick Facts
Patent No.
US None
App. No.
16/708,123
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.

Claims (19)

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.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 11, 2019
From: WELLAND, ROBERT V; MCKELVIE, SAMUEL J; CORDELL, JOHN P; LUDWIG, JOHN H
To: SURROUND.IO CORPORATION
Reel/Frame 051252/0891 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 11, 2019
From: SURROUND.IO CORPORATION
To: XEVO INC.
Reel/Frame 051253/0029 →