Method and arrangement for improving global positioning performance of a road vehicle
Method for improving global positioning performance of a first road vehicle ( 10 ), the method comprising, by means of a data server ( 3, 4, 4 ″): acquiring data from onboard sensors ( 2 a, 2 b, 2 c, 2 d, 2 e, 2 f, 2 g ) arranged on the first road vehicle ( 10 ) and on at least two neighbouring road vehicles ( 10′, 10″, 10 ′″), the data comprising data on relative positions and data on heading angle and velocity of the road vehicles ( 10, 10′, 10″, 10 ′″), and acquiring global positioning data of at least two of the road vehicles ( 10, 10′, 10″, 10 ′″), processing ( 102 ) data comprising the global positioning data, the data, with corresponding timestamp, acquired from the onboard sensors ( 2 a, 2 b, 2 c, 2 d, 2 e, 2 f, 2 g ), and a motion model for each of the first road vehicle ( 10 ) and the at least two neighbouring road vehicles ( 10′, 10″, 10 ′″) using a data fusion algorithm, calculating adjusted global positioning data for the first road vehicle ( 10 ) and communicating ( 104 ) the adjusted global positioning data to a positioning system ( 6 ) of the first road vehicle ( 10 ).
1. A method for improving global positioning performance of a first road vehicle, the method comprising:
by a data server:
acquiring data from onboard sensors arranged on said first road vehicle and on at least two neighbouring road vehicles, said data comprising data on relative positions and data on heading angle and velocity of said road vehicles, and acquiring global positioning data of at least two of said road vehicles so that the at least two of said neighbouring road vehicles are used as positioning anchors for the first road vehicle when processing the data in the data server,
processing said global positioning data, said data, with a corresponding timestamp, acquired from said onboard sensors, the corresponding timestamp indicating a time at which an event is recorded by one of the onboard sensors, and a vehicle motion model for each of said first road vehicle and said at least two neighbouring road vehicles, using a data fusion algorithm,
calculating adjusted global positioning data for said first road vehicle, and
communicating said adjusted global positioning data to a positioning system of said first road vehicle.
2. The method of claim 1 , wherein said data server is located in said first road vehicle.
3. The method of claim 1 , wherein said data server is a central data server.
4. The method of claim 1 , wherein said data server comprises a data server located in at least one of said road vehicles and a central data server.
5. The method of claim 1 , wherein said onboard sensors are selected from a group comprising radars, vision sensors and lidar sensors.
6. The method of claim 1 , wherein at least one of said road vehicles is an autonomous driving (AD) vehicle.
7. The method of claim 1 , wherein at least one of said road vehicles is a vehicle with advanced driving assistance systems (ADAS).
8. The method of claim 1 , wherein said global positioning data processed by said data server comprises global positioning data of said first road vehicle.
9. The method of claim 1 , wherein said global positioning data processed by said data server consists of global positioning data of at least two of said neighbouring road vehicles.
10. The method of claim 1 , wherein global positioning data of one or more neighbouring road vehicles is processed with other data in said data server and adjusted global positioning data for at least one of said one or more neighbouring road vehicles is calculated and communicated to a positioning system of said neighbouring road vehicle.
11. The method of claim 1 , further comprising:
by said data server:
acquiring data for a neighbouring road vehicle having no active onboard sensors from onboard sensors on at least two of said road vehicles, said data comprising vehicle identification data and data on heading angle and velocity of said road vehicle having no active onboard sensors, and acquiring global positioning data from a global positioning sensor of at least said neighbouring road vehicle having no active onboard sensors, and
when processing said data comprising said data on relative positions and velocity of said road vehicles, further processing said global positioning data and said data comprising said vehicle identification data and said data on heading angle and velocity, with corresponding time stamp, acquired from said onboard sensors for said neighbouring road vehicle having no active onboard sensors, wherein said neighbouring road vehicle having no active onboard sensors is used as a positioning anchor for said first road vehicle.
12. The method of claim 1 , further comprising:
by said data server:
acquiring, from onboard sensors of at least two of said road vehicles, data for a neighbouring road vehicle having a global positioning sensor, said data comprising vehicle identification data and data on heading angle and velocity of said neighbouring road vehicle, and acquiring global positioning data from said global positioning sensor of the neighbouring road vehicle,
when processing data, processing also said global positioning data and said data, with corresponding time stamp, acquired from said onboard sensors on said at least two of said road vehicles for said neighbouring road vehicle,
calculating adjusted global positioning data for said neighbouring road vehicle, and
communicating said adjusted global positioning data to a positioning system of said neighbouring road vehicle.
13. The method of claim 11 , wherein said vehicle identification data for a road vehicle having no active onboard sensors is said license plate number.
14. The method of claim 1 , further comprising, based on said adjusted global positioning data communicated to said positioning system of a road vehicle, adjusting said global position of the road vehicle.
15. An arrangement for improving global positioning performance of a first road vehicle, said arrangement comprising:
a data server communication unit for communication with a data server,
onboard sensors arranged on said first road vehicle and being arranged to determine data on relative positions and data on heading angle and velocity of one or more neighbouring road vehicles,
said data server communication unit further being arranged to send said determined data, with a corresponding time stamp indicating a time at which an event is recorded by one of the onboard sensors, to said data server,
a global positioning sensor arranged on said first road vehicle, said data server communication unit further being arranged to send global positioning data of said first road vehicle to said data server, and
a positioning system arranged on said first road vehicle, wherein
said data server communication unit further is arranged to receive to said positioning system of said first road vehicle adjusted global positioning data for said first road vehicle, said adjusted global positioning data obtained using a data fusion algorithm, said data fusion algorithm arranged to process global positioning data from said first road vehicle and at least one of said one or more neighbouring road vehicles, a vehicle motion model of each road vehicle, data on relative positions of each road vehicle, and data on heading angle and velocity of said road vehicles so that the at least two of said neighbouring road vehicles are used as positioning anchors for the first road vehicle when processing the data in the data server, to calculate said adjusted global positioning data for said first road vehicle.