Autonomous vehicle assistance systems

• US 10,334,412 B1
• Filed: 01/09/2018
• Issued: 06/25/2019
• Est. Priority Date: 01/09/2018
• Status: Active Grant

• Current Assignee: Boaz Kenane
• Original Assignee: Boaz Kenane
• Inventors: Kenane, Boaz
• Primary Examiner(s): Alizada, Omeed
• Application Number:
  US15/865,483
• Publication Number:
  US 20190215668A1
• Time in Patent Office: 532 Days
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 40/06 Road conditions
• CPC Class Codes: G05D 1/00 Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots drive control systems specially adapted for autonomous road vehicles B60W60/00
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 20/56 exterior to a vehicle by using sensors mounted on the vehicle
• CPC Class Codes: G08G 1/096708 where the received information might be used to generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096725 where the received information generates an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/09675 where a selection from the received information takes place in the vehicle
• CPC Class Codes: G08G 1/096783 where the origin of the information is a roadside individual element
• CPC Class Codes: G08G 1/096791 where the origin of the information is another vehicle
• CPC Class Codes: G08G 5/0013 with a ground station
• CPC Class Codes: G08G 5/0069 specially adapted for an unmanned aircraft
• CPC Class Codes: G08G 5/0078 for monitoring traffic from the aircraft radar or analogous systems specially adapted for traffic control G01S13/91
• CPC Class Codes: H04W 4/38 for collecting sensor information
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/44 for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

Abstract

Apparatuses and methods of operating the same are described. A sensor system including a sensor, a processor, and a communication subsystem. The sensor may measure a defined area of a path located below the sensor system to obtain a sensor measurement. The processor may be coupled to the sensor. The processor may determine at least one of environmental condition information within the defined area or characteristic information associated with an object within the defined area using the sensor measurement. The communication subsystem may be coupled to the processor. The communication subsystem may send at least one of the environmental condition information or the characteristic information to a communication system of a vehicle.

Claims

1. A sensor assistance system, comprising:

a sensor support structure configured to hold a sensor system above a roadway at a defined height; and

the sensor system connected to the sensor support structure, the sensor system comprising;

a first sensor to capture a first sensor measurement within a defined area of the road below the sensor system;

a communication subsystem to receive vehicle information from a vehicle wherein the vehicle information indicates at least one of a type of the vehicle or a capability of the vehicle; and

a processing device coupled to the first sensor and the communication subsystem, the processing device to;

receive a second sensor measurement taken by a second sensor of the vehicle, wherein;

the second sensor is a different type of sensor than the first sensor; and

the second sensor measurement indicates there is an object within the defined area of the road, wherein the defined area is an area below the sensor system;

determine that the second sensor measurement includes interference that obscures identification of the object based on the second sensor measurement;

aggregate the first sensor measurement from the first sensor with the second sensor measurement from the second sensor to obtain aggregated sensor information;

generate a scene description of an area approximate the vehicle that includes the object based on the aggregated sensor information, wherein an accuracy of the scene description is increased when based on the aggregated sensor information;

adjust the scene description based on the vehicle information; and

send the scene description to a communication system of the vehicle.

2. The sensor assistance system of claim 1, wherein the processing device is further to generate a two-dimensional image or a three-dimensional image of the object using the aggregated sensor information.

3. The sensor assistance system of claim 1, wherein the processing device is further to generate a two-dimensional image or a three-dimensional image of an environment within the defined area using the aggregated sensor information.

4. The sensor assistance system of claim 1, wherein the processing device is further to generate a two-dimensional image or a three-dimensional image of an environment within the defined area that includes the object using the aggregated sensor information.

5. The sensor assistance system of claim 1, wherein the first sensor is a day-light camera, a night-vision camera, a light detection and ranging (LIDAR) sensor, a radio detection and ranging (RADAR) sensor, or a microphone.

6. The sensor assistance system of claim 1, wherein the first sensor measurement includes information that is different than information from the second sensor measurement.

7. The sensor assistance system of claim 1, wherein the sensor support structure is a street light pole, a stop light pole, or a billboard pole.

8. The sensor assistance system of claim 1, wherein the sensor support structure is an aerial drone.

9. A sensor system, comprising:

a first sensor to measure a defined area of a path located below the sensor system to obtain a first sensor measurement;

a processor coupled to the first sensor, the processor to;

receive a second sensor measurement taken by a second sensor of a first vehicle, wherein;

the second sensor is a different type of sensor than the first sensor;

the second sensor measurement indicates there is an object within the defined area of a road, wherein the defined area is an area below the sensor system;

determine that the second sensor measurement includes interference that obscures identification of the object based on the second sensor measurement;

aggregate the first sensor measurement from the first sensor with the second sensor measurement from the second sensor to obtain aggregated sensor information; and

generate a scene description of an area approximate the first vehicle that includes the object based on the aggregated sensor information, wherein an accuracy of the scene description is increased when based on the aggregated sensor information; and

a communication subsystem coupled to the processor, the communication subsystem to send the scene description to a first communication system of the first vehicle.

10. The sensor system of claim 9, further comprising a sensor support structure configured to hold the sensor system above the path at a defined height.

11. The sensor system of claim 10, wherein the defined height is between 10 meters (m) to 1000 m above the path.

12. The sensor system of claim 9, wherein the path is a road that is part of a transportation system for the first vehicle.

13. The sensor system of claim 9, the communication subsystem to receive first vehicle information from the first vehicle and second vehicle information from a second vehicle.

14. The sensor system of claim 13, wherein the processor is further to update scene description using the second vehicle information.

15. The sensor system of claim 14, wherein the communication subsystem is to send the updated scene description to at least one of the first communication system of the first vehicle or a second communication system of the second vehicle.

19. The sensor system of claim 13, wherein the processor is further to adjust the scene description based on the first vehicle information.

16. A method, comprising:

measuring, by a first sensor, a defined area of a path below a sensor to obtain a first sensor measurement;

receiving, by a processing device, a second sensor measurement taken by a second sensor of a vehicle, wherein;

the second sensor is a different type of sensor than the first sensor; and

the second sensor measurement indicates there is an object within the defined area of a road, wherein the defined area is an area below the sensor system;

determining, by the processing device, that the second sensor measurement includes interference that obscures identification of the object based on the second sensor measurement;

aggregating, by the processing device, the first sensor measurement from the first sensor with the second sensor measurement from the second sensor to obtain aggregated sensor information;

generating, by the processing device, a scene description of an area approximate the vehicle that includes the object based on the aggregated sensor information; and

sending, by a communication subsystem, the scene description to a communication system of the vehicle.

17. The method of claim 16, further comprising receiving, by the communication subsystem, vehicle information from the communication system of the vehicle.

18. The method of claim 17, wherein:

the vehicle comprise an autonomous driving system; and

the autonomous driving system is to update a driving instruction for the vehicle in view of the scene description.

20. The method of claim 17, wherein the processing device is further to adjust the scene description based on the vehicle information.