Parking Information Collection System and Method

• US 20140132767A1
• Filed: 04/01/2013
• Published: 05/15/2014
• Est. Priority Date: 07/31/2010
• Status: Abandoned Application

• Current Assignee: Eric Sonnabend, Marc Landman, Rimon Elias, Steven Hansen
• Original Assignee: Eric Sonnabend, Marc Landman, Rimon Elias, Steven Hansen
• Inventors: Sonnabend, Eric, Landman, Marc, Elias, Rimon, Hansen, Steven
• Application Number:
  US13/854,470
• Publication Number:
  US 20140132767A1
• Time in Patent Office: Days
• US Class Current: 348/148
• CPC Class Codes: G06V 20/582 of traffic signs
• CPC Class Codes: G06V 20/63 Scene text, e.g. street names
• CPC Class Codes: G06V 30/422 Technical drawings; Geographical maps
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/09675 where a selection from the received information takes place in the vehicle
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/144 on portable or mobile units, e.g. personal digital assistant [PDA]
• CPC Class Codes: G08G 1/147 where the parking area is within an open public zone, e.g. city centre

Abstract

An integrated parking information system is disclosed. The system includes a collection system and a means for collection of parking data, and an information provision system and a method for the provision of parking information, for instance, enabling a driver to know exactly which city parking rules and fines apply for any given street parking space, as well as other associated information. The system can notify members about available parking spots through a GPS application that is integrated with phones & in dash Navigation Systems. The system can provide alerts to protect members against parking violations.

Claims

1. An automatic data collection system, comprising:

one or more image collection subsystems in a first viewpoint, one or more memories for storing one or more first viewpoint images;

one or more processors;

one or more first location datum captured at the same time as the first viewpoint images;

a possible target located within said first viewpoint images is analyzed with use of a database of possible targets; and

identifying one or more proximate features within the first viewpoint images, wherein said features are then located in a second viewpoint image taken from a different viewpoint then the said first viewpoint images, and subsequently updating the possible target geolocation data using the said proximate features found in each of the two viewpoints.

2. The automatic data collection system of claim 1, wherein the one or more image collection subsystems is a smartphone.

3. The automatic data collection system of claim 1, wherein the one or more processors are smartphone processors.

4. The automatic data collection system of claim 1 wherein the one or more processors are networked servers.

5. The automatic data collection system of claim 1 wherein the one or more memories for storing one or more first viewpoint images are smartphone memories.

6. The automatic data collection system of claim 1 wherein the possible target is a street sign.

7. The automatic data collection system of claim 1 wherein the database of possible targets includes street signs.

8. The automatic data collection system of claim 1 wherein the second viewpoint image is an overhead satellite view.

9. The automatic data collection system of claim 1 wherein the proximate features are chosen from the list comprising:

streets, sidewalks, windows, trees, gardens, crosswalks, street lights, awnings, store fronts, building facades, parking spaces, flower beds, statues, corners, building height, building color, junctions, telephone poles, billboards, landmarks, bus stops, stairs, steeples, gables, sign posts, fences, police box, utility box, utilities, Jersey barriers, markings on the street, murals, street furniture, and shrubbery.

10. The automatic data collection system of claim 1 wherein the image collection subsystem is a camera.

11. The automatic data collection system of claim 1 wherein the image collection subsystem is a movie camera.

12. The automatic data collection system of claim 1 wherein the second viewpoint image is an aerial view.

13. The automatic data collection system of claim 1 wherein the first viewpoint is a street-level view.

14. The automatic data collection system of claim 1 wherein the image collection subsystem is made up of from 1 to 1000 smartphones.

15. The automatic data collection system of claim 1 wherein the image collection subsystem uses 8 smartphones.

16. The automatic data collection system of claim 1 wherein the image collection subsystem is mounted on any of:

motor bike, bicycle, car, truck, trike, or scooter.

17. The method of producing a more accurate location for a target, comprising identifying a target in a first viewpoint image;

identifying a neighboring feature to the target;

identifying the neighboring feature in a second viewpoint image;

using the location data of the neighboring feature from the second viewpoint to improve the location of the target in the second viewpoint.

18. The method of claim 17 wherein the target is a street sign.

19. An automatic data collection system, having means for an image collection subsystem in a first viewpoint, a database of possible targets, a target identified in the said first viewpoint, a proximate feature also identified in the said first viewpoint, said proximate feature also identified in a second viewpoint, wherein the target location is updated in the second viewpoint.

20. The automatic data collection system of claim 19, wherein the target is a street sign.