Vehicular information systems and methods

• US 9,123,245 B2
• Filed: 07/15/2013
• Issued: 09/01/2015
• Est. Priority Date: 05/13/2009
• Status: Active Grant

• Current Assignee: Rutgers University
• Original Assignee: Rutgers University
• Inventors: Gruteser, Marco, Mathur, Suhas
• Primary Examiner(s): POPE, DARYL C
• Application Number:
  US13/942,274
• Publication Number:
  US 20140085112A1
• Time in Patent Office: 778 Days
• Field of Search: 340/932.2, 340/933, 340/937, 340/902, 340/903, 340/904, 340/905
• US Class Current: 1/1
• CPC Class Codes: B60Q 9/004 using wave sensors radar designed for anti-collision purposes between land vehicles or between land vehicles and fixed obstacles G01S13/931
• CPC Class Codes: G06V 20/586 of parking space
• CPC Class Codes: G08G 1/01 Detecting movement of traffic to be counted or controlled G08G1/07 - G08G1/14 take precedence
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/14 indicating individual free spaces in parking areas
• CPC Class Codes: G08G 1/141 with means giving the indication of available parking spaces
• CPC Class Codes: G08G 1/143 inside the vehicles
• CPC Class Codes: G08G 1/147 where the parking area is within an open public zone, e.g. city centre

Abstract

Disclosed is a method and system that receives sensor information from each of a plurality of sensors. Each sensor in the plurality is associated with a vehicle. The sensor information includes location coordinates of each vehicle in the plurality. The sensor information associated with each vehicle in the plurality then is translated to parking statistics information. In one embodiment, the translation is based on an aggregate of sensor information corresponding to the plurality of vehicles. The system then communicates parking statistics information to the vehicle.

Claims

1. A method for obtaining parking availability statistics comprising:

receiving, by a server computer, sensor information from each of a plurality of sensors, each sensor in the plurality fitted to a vehicle, the sensor information comprising location coordinates of each vehicle in the plurality; and

translating, by the server computer, the sensor information associated with each vehicle in the plurality to parking statistics information by determining a width of a dip in sensor information and comparing the width against a threshold width.

2. The method of claim 1, further comprising communicating, by the server computer, the parking statistics information to the vehicle.

3. The method of claim 1 wherein the translating further comprises determining, by the server computer, if each vehicle in the plurality is in a slotted parking area or an unslotted parking area, wherein on a condition that a vehicle is in the slotted parking area, translating the sensor information associated with the vehicle to parking space counts, and wherein, on a condition that a vehicle is in the unslotted parking area, translating the sensor information associated with the vehicle to parking space map.

4. The method of claim 1 wherein the receiving of sensor information further comprises receiving video from a camera associated with each sensor in the plurality, the video comprising a plurality of images that are time stamped.

5. The method of claim 1 wherein the receiving further comprises determining that the location coordinates fall within a range of location coordinates associated with the start of the receiving, and;

stopping the receiving when the location coordinates fall outside of the range of location coordinates associated with the start of the receiving.

6. The method of claim 1 wherein determining the width of a dip in sensor information further comprises performing at least one of determining a number of vehicles to which the dip corresponds and determining the depth of the dip.

7. The method of claim 1 further comprising identifying a number of available parking spots by comparing a number of cars detected with a database containing a number of valid spots for a road, and learning, by the server computer, the database from the sensor information by aggregating data collected from multiple passes along the road.

8. The method of claim 1 wherein a location estimate of the vehicle is corrected by matching time-series sensor information to sensor information from prior trips along a road, the method further comprising aligning traces based on distinct signatures generated by fixed road-side objects.

9. The method of claim 1 wherein the translating is based on continually comparing time-series sensor information observed by the each sensor to a set of signatures known to correspond to typical vehicles or based on an aggregate of sensor information corresponding to the plurality of vehicles.

10. The method of claim 1 wherein the translating further comprises calculating the parking statistics information over a predetermined period of time, and wherein the parking statistics information calculated over the predetermined period of time is used to predict availability of parking.

11. A computer readable storage medium tangibly storing computer program instructions capable of being executed by a computer processor on a computing device, the computer program instructions defining the steps of:

receiving sensor information from each of a plurality of sensors, each sensor in the plurality fitted to a vehicle, the sensor information comprising location coordinates of each vehicle in the plurality; and

translating the sensor information associated with each vehicle in the plurality to parking statistics information by determining a width of a dip in sensor information and comparing the width against a threshold width.

12. The computer readable medium of claim 11 wherein the step of translating further comprises the step of determining if each vehicle in the plurality is in a slotted parking area or an unslotted parking area, wherein, on a condition that a vehicle is in the slotted parking area, the step of translating when a vehicle is in the slotted parking area further comprises translating the sensor information associated with the vehicle to parking space counts, and wherein, on a condition that a vehicle is in the unslotted parking area, the step of translating when a vehicle is in the unslotted parking area further comprises translating the sensor information associated with the vehicle to parking space map.

13. The computer readable medium of claim 11 wherein determining the width of a dip in sensor information further comprises performing one of determining a number of vehicles to which the dip corresponds or determining the depth of the dip.

14. The computer readable medium of claim 11 further comprising the steps of identifying a number of available parking spots by comparing a number of cars detected with a database containing a number of valid spots for a road, and;

learning the database from the sensor information by aggregating data collected from multiple passes along the road.

15. The computer readable medium of claim 11 wherein a location estimate of the vehicle is corrected by matching time-series sensor information to sensor information from prior trips along a road, and further comprising the step of aligning traces based on distinct signatures generated by fixed road-side objects.

16. The computer readable medium of claim of claim 11 wherein the step of translating is based on continually comparing time-series sensor information observed by the each sensor to a set of signatures known to correspond to typical vehicles or based on an aggregate of sensor information corresponding to the plurality of vehicles.

17. The computer readable medium of claim of claim 11 wherein the step of translating further comprises calculating the parking statistics information over a predetermined period of time, and wherein the parking statistics information calculated over the predetermined period of time is used to predict availability of parking.

18. A server computer for obtaining parking availability statistics, the server computer comprising:

a receiver configured to receive sensor information from each of a plurality of sensors, each sensor in the plurality associated with a vehicle, the sensor information comprising location coordinates of each vehicle in the plurality; and

a processor configured to;

determine the width of a dip in sensor information or both the width and depth of a dip in sensor information;

identify a number of available parking spots by comparing a number of cars detected with a database containing a number of valid spots for a road;

correct a location estimate of the vehicle by matching time-series sensor information to sensor information from prior trips along the road

translate the sensor information associated with each vehicle in the plurality to parking statistics information based on continually comparing time-series sensor information observed by each sensor to a set of signatures known to correspond to typical vehicles and calculating the parking statistics information over a predetermined period of time.

19. The server computer of claim 18 wherein the processor is further configured to learn the database from the sensor information by aggregating data collected from multiple passes along the road.

20. The server computer of claim 18 further comprising the processor aligning traces based on distinct signatures generated by fixed road-side objects.