High-precision position determination for vehicles
11029155 · 2021-06-08
Assignee
Inventors
Cpc classification
G01S3/14
PHYSICS
International classification
G01C21/16
PHYSICS
Abstract
A method for high-precision position determination for vehicles, wherein the vehicles include devices for wireless communication with intelligent infrastructure devices, the precise position of the intelligent infrastructure device being known and the vehicles exchange status information with the intelligent infrastructure devices at predefined time intervals, and wherein the intelligent infrastructure devices have devices for determining the direction of the received signals carrying the status information, in which the status information sent from the vehicles to the intelligent infrastructure devices includes at least the vehicle identifier and information about the speed and the direction of the vehicle, and in which the position of the vehicles is determined via trigonometric methods from consecutive sets of status information, the associated known time intervals, the direction of the signals carrying the status information and the position of the intelligent infrastructure devices.
Claims
1. A method for increased high-precision position determination of of vehicles including devices for wireless communication with intelligent infrastructure devices, a precise position of the intelligent infrastructure device being known and the vehicles exchanging status information with the intelligent infrastructure devices at predefined time intervals, and the intelligent infrastructure devices have devices for determining a direction of the received signals carrying the status information, the method comprising: sending status information from the vehicles to the intelligent infrastructure devices based on wireless access in vehicular environments (WAVE)/Intelligent Transportation Systems (ITS) standards, said status information comprising at least a vehicle identifier and information about a speed and the direction of the vehicle; determining the position of the vehicles via trigonometric methods from consecutive sets of status information, the associated known time intervals, a direction of signals carrying the status information and the position of the intelligent infrastructure devices to provide the increased high-precision position determination of the vehicles; determining a distance traveled by the vehicle in a time interval from at least two sets of transmitted status information; determining a direction of the consecutive signals carrying the status information; determining a position of the vehicles relative to the intelligent infrastructure devices via the trigonometric methods from the directions of the consecutive signals, and from the distance traveled; and determining an absolute position of the vehicles from an absolute position of the intelligent infrastructure devices and the relative position of the vehicles.
2. The method as claimed in claim 1, wherein position data specified via satellite navigation is sent from the vehicles as additional status information; and wherein the distance traveled by the vehicle in the time interval is determined from at least two sets of transmitted position data specified via satellite navigation.
3. The method as claimed in claim 1, wherein data from a digital road map is taken into consideration during position determination.
4. The method as claimed in claim 2, wherein data from a digital road map is taken into consideration during position determination.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The invention is described in more detail with reference to figures, in which:
(2)
(3)
(4)
(5)
DETAILED DESCRIPTION OF THE EXEMPLARY EMBODIMENTS
(6) The method in accordance with the invention for high-precision position determination is intended for vehicles which have means for wireless communication with intelligent infrastructure devices. In this so-called car-to-infrastructure (Car-to-X) communication information about road conditions, traffic flow, congestion, and potential hazards such as accidents, oncoming vehicles or stationary vehicles is exchanged.
(7) For such information, which in part is relevant to safety, communication by vehicles via mobile radio is suitable only to a limited extent because of the restricted availability.
(8) Hence, a standard has been developed with IEEE-WAVE/ITS-G5, by means of which WLAN technology is to be established in passenger vehicles, and a reliable interface for intelligent traffic system applications is to be created.
(9) According to the invention communication that has occurred based on the IEEE-WAVE/ITS-G5 standard between a vehicle and intelligent infrastructure devices—so called roadside units (RSU)—is now employed for high-precision position determination.
(10) To this end, status information is sent from the vehicle to the roadside units RSU at regular time intervals t1, t2, typically about every 100 msec, and also comprises, in addition to a unique vehicle identifier I.sub.v1, at least information about the speed V.sub.V1 and the direction of the vehicle H.sub.V1.
(11) Based on the speed and the known time interval between two sets of status information, the distance d.sub.V1(t2-t1) traveled in the time interval is determined.
(12) Furthermore, the direction of the received signals d1, d2 carrying the status information is determined in the roadside units RSU in question. As illustrated in
(13) From this information, trigonometric methods can be used to determine the position of the vehicle Pos.sub.v1(t2) relative to the roadside unit RSU, and because the absolute position Lat.sub.V1, Lon.sub.V1 thereof is known, to also determine the absolute position of the vehicle therefrom.
(14) The direction H.sub.V1 of the distance d.sub.V1(t2-t1) traveled can, for example, be determined in the vehicle via a compass or else by evaluating data from a satellite navigation system Lat.sub.V1, Lon.sub.V1, as is schematically illustrated in
(15) As is schematically illustrated in
(16)
(17) Next, the position of the vehicles is determined via trigonometric methods from consecutive sets of status information, the associated known time intervals, a direction of signals d1, d2 carrying the status information and the position of the intelligent infrastructure devices, as indicated in step 220.