Method for controlling a cornering light and lighting device
09802529 · 2017-10-31
Assignee
Inventors
Cpc classification
B60Q1/085
PERFORMING OPERATIONS; TRANSPORTING
B60Q1/16
PERFORMING OPERATIONS; TRANSPORTING
International classification
Abstract
The invention relates to a method for controlling a predictive cornering light with at least one headlight with a pivoting means for the controlled pivoting of the headlight, wherein a monitoring device is provided, which monitors the roadway and/or lane in front of the vehicle, and a control unit is provided, which, on the basis of the data of the monitoring device, drives the pivoting means for setting the headlight for illuminating the roadway and/or lane. The invention also relates to a lighting device in this regard.
Claims
1. A method for controlling a predictive cornering light, the method comprising: providing a vehicle having at least one headlight comprising a pivoting element, an optical monitoring device that monitors a roadway or lane in front of the vehicle and generates roadway data, and a control unit, generating a model of a headlight light distribution using the roadway data, determining a pivoting angle by rotating the model of the headlight distribution to minimize a deviation between the model of the headlight light distribution and the roadway, actuating the pivoting element to set a headlight direction for illuminating the roadway or lane to match the pivoting angle, wherein minimizing the deviation between the model of the headlight light distribution and the roadway corresponds to minimizing a difference of at least one right-hand partial deviation between the roadway and the model and of at least one left-hand partial deviation between the roadway and the model of the headlight light distribution, wherein the model of the headlight light distribution is a section model, wherein each partial deviation between the model of the headlight light distribution and the roadway is determined by calculating at least one area between an illumination boundary in a section of the section model and a portion of a curve characterizing a roadway course or lane course corresponding to the section.
2. The method according to claim 1, wherein the pivoting angle corresponds to a resulting rotation angle of the model of the headlight light distribution relative to a selected or initial model position.
3. The method according to claim 2, wherein the selected or initial model position is defined as a position of the model of the headlight light distribution without pivoting.
4. The method according to claim 1, wherein minimizing the deviation between the model of the headlight light distribution and the roadway corresponds to minimizing a sum of a plurality of partial deviations of the roadway from the model of the headlight light distribution.
5. The method according to claim 1, wherein a first area is an area between the section of the section model and a curve characterizing a roadway course or lane course up to a point of intersection thereof and a second area arises between the section and the curve characterizing the roadway course or lane course after the point of intersection thereof up to a predefinable distance, wherein in the case of a right-hand curve the first area is defined as a right-hand partial deviation and the second area is defined as a left-hand partial deviation, and in the case of a left-hand curve the first area is defined as the left-hand partial deviation and the second area is defined as the right-hand partial deviation.
6. The method according to claim 1, wherein a section of the section model lies in a selected or initial model position on a straight line in a direction of the vehicle longitudinal axis and extends forward from a current position of the vehicle.
7. The method according to claim 1, wherein the section model describes a centroid position of the light distribution.
8. The method according to claim 1, wherein the section model is a section of a length of a low-beam light range.
9. The method according to claim 1, wherein the model of the headlight light distribution is an area model.
10. The method according to claim 9, wherein the area model is an area s situated on a roadway plane and delimited by at least one curve.
11. The method according to claim 10, wherein the area model is the area between a right-hand delimiting ray and between a left-hand delimiting ray up to a predefinable distance.
12. A lighting device comprising: at least one headlight with a pivoting element for controlled pivoting of the headlight for controlling a predictive cornering light in a vehicle, an optical monitoring device that monitors a roadway or lane in front of the vehicle and generates roadway data, a control unit that, uses the data of the optical monitoring device to drive the pivoting element for setting the headlight for illuminating the roadway or lane, wherein the control unit is configured to carry out the method according to claim 1.
13. A method for controlling a predictive cornering light, the method comprising: providing a vehicle having at least one headlight comprising a pivoting element, an optical monitoring device that monitors a roadway or lane in front of the vehicle and generates roadway data, and a control unit, generating an auxiliary line using the roadway data, performing an area determination using the profile of the roadway data and an auxiliary line proceeding from the front of the vehicle, determining a point of intersection between the course of the roadway and the auxiliary line and using the point of intersection to characterize a pivoting angle, driving the headlight using the pivoting angle, wherein the area determination is effected in such a way that a predefinable ratio is achieved between a first area between the auxiliary line and the roadway course up to the point of intersection thereof and a second area between the auxiliary line and a roadway course after the point of intersection up to a predefinable distance.
14. The method according to claim 13, wherein the pivoting angle is defined as an angle between the auxiliary line and a vehicle longitudinal direction.
15. The method according to claim 13, wherein the area determination is effected in such a way that a ratio between the first area and the second area assumes a predefinable value.
16. The method according to claim 15, wherein the area determination is effected in such a way that the ratio between the first area and the second area is 1:1.
17. A method for controlling a predictive cornering light, the method comprising: providing a vehicle having at least one headlight comprising a pivoting element, an optical monitoring device that monitors a roadway or lane in front of the vehicle and generates roadway data, and a control unit, generating a model of a headlight light distribution using the roadway data, determining a pivoting angle by rotating the model of the headlight distribution to minimize a deviation between the model of the headlight light distribution and the roadway, actuating the pivoting element to set a headlight direction for illuminating the roadway or lane to match the pivoting angle, wherein minimizing the deviation between the model of the headlight light distribution and the roadway corresponds to minimizing a sum of a plurality of partial deviations of the roadway from the model of the headlight light distribution, wherein the model of the headlight light distribution is a volume model, wherein determining each of the partial deviations is carried out by determining an intersection area between a roadway plane and a volume and by determining an at least one area proportion which lies on the left or on the right alongside the lane on the intersection area.
18. A method for controlling a predictive cornering light, the method comprising: providing a vehicle having at least one headlight comprising a pivoting element, an optical monitoring device that monitors a roadway or lane in front of the vehicle and generates roadway data, and a control unit, determining a first pivoting angle from the roadway data at a roadway point at a predetermined distance in front of the vehicle, determining a second pivoting angle from the first pivoting angle which depends in part on a curve radius of the roadway, actuating the pivoting element to set a headlight direction for illuminating the roadway or lane to match the second pivoting angle, wherein the first pivoting angle is determined by rotating a model of the headlight distribution to minimize a deviation between the model of the headlight light distribution and the roadway, wherein the second pivoting angle is determined in such a way that a straight line is determined, whose point of intersection with the ascertained roadway course having a curve radius or lane course having a curve radius is chosen such that the resulting two areas between the straight line and the roadway course having a curve radius or the lane course having a curve radius up to the predetermined distance assume a predefinable size ratio.
19. The method according to claim 18, wherein the second pivoting angle is corrected, relative to the first pivoting angle by using a correction.
20. The method according to claim 19, wherein the correction is greater in the case of a smaller curve radius than in the case of a larger curve radius.
21. A lighting device comprising: at least one headlight with a pivoting element for controlled pivoting of the headlight for controlling a predictive cornering light in a vehicle, an optical monitoring device that monitors a roadway or lane in front of the vehicle and generates roadway data, a control unit that, uses the data of the optical monitoring device to drive the pivoting element for setting the headlight for illuminating the roadway or lane, wherein the control unit is configured to carry out the method according to claim 18.
22. The method according to claim 18, wherein the first pivoting angle is determinable by ascertaining, using an ascertained roadway course or a lane course, the point of intersection between the roadway course or the lane course and a straight line at the predetermined distance, wherein said straight lane projects forward from the current position of the vehicle.
23. The method according to claim 18, wherein the areas are of identical size.
24. The method according to claim 18, wherein the size ratio is dependent on the curve radius.
25. The method according to claim 24, wherein a first area arranged nearer to the vehicle and a second area further away from the vehicle are formed, wherein a ratio between the sizes of the two areas is chosen depending on the curve radius.
26. The method according to claim 25, wherein when the curve radius corresponds to a first predefinable curve radius defined as an infinite curve radius, the size of the first area is maximal and the size of the second area is zero, wherein when the curve radius corresponds a second predefined curve radius, the size of the first area is equal to the size of the second area.
27. The method according to claim 26, wherein when the curve radius corresponds to a radius between the second predefined curve radius and a first predefinable curve radius, the ratio of the size of the first area to the size of the second area is greater than 1:1.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The invention is explained in greater detail below on the basis of at least one exemplary embodiment with reference to the drawings, in which:
(2)
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PREFERRED EMBODIMENT OF THE INVENTION
(11)
(12) The lighting device 2 has at least one headlight 3 having at least one illuminant 4 to which a pivoting means 5 is assigned in order to pivot the illuminant 4 in the headlight 3 and/or the headlight 3 with the illuminant 4. In this case, pivoting of the illuminant 4 in the headlight 3 and pivoting of the headlight 3 with the illuminant 4 are understood hereinafter synonymously as pivoting of the headlight 3.
(13) A pivoting means 5 is assigned to the headlight 3, which pivoting means is drivable by a control unit 6 in order to be able to pivot the position of the headlight 3 or of the illuminant 4 in the headlight 3, in order to be able to set the angular setting of the light emitted by the headlight 3.
(14) A monitoring device 13 serves for monitoring the roadway 11 and/or the lane 12, said monitoring device being an optical monitoring device, for example. The monitoring device 13 in this case monitors the roadway 11 and/or the lane 12 and preferably ascertains the current travelling trajectory 10 of the vehicle in order to be able to set, e.g. to be able to pivot, the headlight or headlights 3 by means of the respective pivoting means 5 in such a way as to achieve an improved illumination of the roadway 11 and/or the lane 12 in front of the vehicle 1.
(15) In this case, the roadway 11 and/or the lane 12 are/is preferably identified by recognition of road markings by virtue of the fact that the monitoring device 13 detects the road markings 14 in front of the vehicle 1 and the control unit 6 evaluates the course of the road markings 14 in order to determine a course of the roadway 11 and/or of the lane 12 in front of the vehicle 1 in relation to the position of the vehicle 1, in order to determine therefrom the pivoting angle α, β for the respective headlight 3, and in order to set the respective headlight 3 with regard to the determined pivoting angle α, β by means of the adjusting means 5.
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(17) The setting of the pivoting angle in accordance with scenario 17 constitutes a setting of the pivoting angle for which a first pivoting angle γ is determined from the roadway data at a roadway point 18 at a predetermined distance 19 in front of the vehicle. Said first pivoting angle corresponds to the illumination of the roadway up to the roadway point 18. This is sufficient for roadways 11 or lanes 12 having a large curve radius. In the case of a small curve radius, as shown in
(18) Therefore, a second corrected pivoting angle γ.sub.K is determined from the first pivoting angle γ depending on the ascertained curve radius. Said corrected pivoting angle γ.sub.K leads to the illumination scenario 15, in which, although the roadway in front of the vehicle is illuminated better, the roadway point 18 at the predefined distance is not reached. This should be preferred, however, in the case of small curve radii. In this case, a correction of the first pivoting angle γ is performed, which leads to a reduction of the pivoting angle to γ.sub.K. This means that γ.sub.K is less than γ and a pivoting angle of γ should thus be regarded as an upper limit for the pivoting angle to be set, while γ.sub.K represents a pivoting angle which should be regarded as an upper limit for the setting. In this case, γ.sub.K is the pivoting angle which is determined by the point 18 of intersection of the straight line 20 from the vehicle 1 or from the headlight 3 up to the trajectory 10 of the roadway 11 or lane 12 at the predefined distance 19. In this case, the predefined distance 19 in the present exemplary embodiment is in the region of approximately 65 m, although it can also be larger or smaller, such as, for example, 50 m or 70 m, 80 m, 100 m or up to 200 m.
(19)
(20) In this case, the curve 51 represents the straight-ahead curve extending in the direction of travel proceeding from the motor vehicle. The curve 52 represents the ascertained and predicted curve course of the roadway or of the travelling trajectory. The curve 53 represents a straight line with pivoting angle γ, in the case of which the straight line 20 forms the point 18 of intersection at the predefined distance 19 by intersecting the curve course 10.
(21) The straight line 54 represents a straight line in the case of a corrected pivoting angle γ.sub.K. In this case, the pivoting angle γ.sub.K is less than the pivoting angle γ. In this case, the pivoting angle γ.sub.K is formed such that the straight line 54 intersects the curve 52 in such a way that the areas 55 and 56 formed between the straight line 54 and the curve 52 attain a predefinable ratio.
(22) In the exemplary embodiment in
(23) In a departure therefrom, it is possible to determine a weighted pivoting angle γ.sub.G lying between the two pivoting angles γ and γ.sub.G. In this case, the weighted pivoting angle γ.sub.G is determined by a weighting of the curve radius being introduced from the corrected pivoting angle. In this case, the ratio between the areas 55 and 56 is chosen differently depending on the curve radius.
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(25) In this case, the curve 61 represents the straight-ahead curve extending in the direction of travel proceeding from the motor vehicle. The curve 62 represents the ascertained and predicted curve course of the roadway or of the travelling trajectory. The curve 63 represents a straight line with pivoting angle γ, in the case of which, in
(26) The straight line 64 represents a straight line in the case of a corrected pivoting angle γ.sub.K. In this case, the pivoting angle γ.sub.K is less than the pivoting angle γ. In this case, the pivoting angle γ.sub.K is formed such that the straight line 64 intersects the curve 62 in such a way that the areas 65 and 66 formed between the straight line 64 and the curve 62 attain a predefinable ratio of 1:1. Correspondingly, the ratio of the size of the areas 65 and 66 is equal to 1, i.e. the area 65 is of the same size as the area 66. The pivoting angle γK is correspondingly definable.
(27) In a departure therefrom, it is possible to determine a weighted pivoting angle γ.sub.G lying between the two pivoting angles γ and γ.sub.G. The straight line 67 represents a straight line in the case of a weighted pivoting angle γ.sub.G. In this case, the pivoting angle γ.sub.G is less than the pivoting angle γ but greater than the pivoting angle γ.sub.K. In this case, the pivoting angle γ.sub.G is formed such that the straight line 67 intersects the curve 62 in such a way that the areas 68 and formed between the straight line 67 and the curve 62 attain a predefinable ratio which is a function of the curve radius. As can be discerned in
(28) In this case, the weighted pivoting angle γ.sub.G is determined by virtue of the fact that it is introduced from the corrected pivoting angle by means of a weighting on the basis of the curve radius. In this case,
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(30) In this case, the curve 71 represents the straight-ahead curve extending in the direction of travel proceeding from the motor vehicle. The curve 72 represents the ascertained and predicted curve course of the roadway or of the travelling trajectory. The curve 73 represents a straight line with pivoting angle γ, in the case of which, in
(31) The straight line 74 represents a straight line in the case of a corrected pivoting angle γ.sub.K. In this case, the pivoting angle γ.sub.K is less than the pivoting angle γ. In this case, the pivoting angle γ.sub.K is formed such that the straight line 74 intersects the curve 72 in such a way that the areas 75 and 76 formed between the straight line 74 and the curve 72 attain a predefinable ratio of 1:1. Correspondingly, the ratio of the size of the areas 75 and 76 is equal to 1, i.e. the area 75 is of the same size as the area 76. The pivoting angle γK is correspondingly definable.
(32) In a departure therefrom, it is possible to determine a weighted pivoting angle γ.sub.G lying between the two pivoting angles γ and γ.sub.G. The straight line 77 represents a straight line in the case of a weighted pivoting angle γ.sub.G. In this case, the pivoting angle γ.sub.G is less than the pivoting angle γ but greater than the pivoting angle γ.sub.K. In this case, the pivoting angle γ.sub.G is formed such that the straight line 77 intersects the curve 72 in such a way that the areas 78 and formed between the straight line 67 and the curve 72 attain a predefinable ratio which is a function of the curve radius. As can be discerned in
(33) In the relationship of the two
(34) The method according to the invention with its exemplary embodiments addresses the problem of controlling the illumination of the roadway and advantageously improving or even maximizing it.
(35) This improvement or maximization can be achieved in accordance with the above exemplary embodiment. Moreover, this can be achieved using other methods in accordance with the concept according to the invention. The above-described method of area equality can also be represented in more general form.
(36) In this case, the basic concept involves taking into consideration the headlight light distribution or an imaging of the headlight light distribution on the road and adapting the position thereof depending on the course of the road by rotation by means of the ascertained adjustment of the pivoting angle and determining, depending on the rotation, the actual pivoting angle which should be subsequently be set.
(37) In this case, a virtually perfect headlight light distribution can be used or else, in order to be able to adapt to the current requirements in respect of computation capacity and memory space, an alternative also involves striving not for a perfect representation of the headlight light distribution, but rather only for a headlight light distribution which is sufficiently accurate for the respective application. A model of a headlight light distribution is correspondingly used.
(38) This model of the headlight light distribution is adapted to the course of the road proceeding from an initial model position by rotation about a point in front of the vehicle or in front of the respective headlight. The rotation axis provided is preferably an axis perpendicular to the vehicle plane and/or roadway plane which runs as a vertical axis through the rotation point.
(39) How well an adaptation is present or has to be readjusted can be determined by the measurement of the deviation between the model of the light distribution and the roadway. In this case, the deviation is intended to be as small as possible or minimized. A pivoting angle can then finally be determined on the basis of the resulting position of the model of the light distribution, that is to say the optimum model position. This can be the angle between the initial model position and the final or optimum model position. In this case, it is expedient if the initial model position corresponds to the headlight light distribution without pivoting.
(40) The minimization of the deviation can be effected in various ways. For this purpose, firstly all partial deviations are ascertained. A first minimization approach involves minimizing the sum of all the partial deviations. If A(r) is the deviation dependent on the rotation, than t.sub.1(r) to t.sub.12(r) are the partial deviations associated with A(r). In that case, min.sub.r=min A(r)=|Σ.sub.k=l.sup.n|t.sub.k (r)∥.
(41) When taking account of symmetry it is expedient to minimize a difference between a right-hand deviation and a left-hand deviation. If tr.sub.1 to tr.sub.u are right-hand partial deviations and tl.sub.1 to tl.sub.v are left-hand partial deviations, then the minimum function is defined as min.sub.r=min A(r)=|(Σ.sub.k=l.sup.u|tr.sub.k (r)|−Σ.sub.k=l.sup.v|tl.sub.k (r)|)|. In this case, it may be expedient for one side to be weighted more than the other side. If W.sub.r, W.sub.l are the weighting factors for right and left, than the minimization function is defined as min.sub.r=min A(r)=|(W.sub.rΣ.sub.k=l.sup.u|tr.sub.k(r)|−W.sub.l Σ.sub.k=l.sup.v|tl.sub.k (r)|)|.
(42) Besides the weighting factors for right and left, it is furthermore possible to weight the partial deviations depending on the distance. In this case, the distance can be ascertained as the distance from the vehicle along the vehicle longitudinal axis or as the distance to a central point in front of the vehicle or the headlight. Preferably, the point then corresponds to the rotation point. Therefore, if tr.sub.1 (r,x) to tr.sub.u(r,x) and tl.sub.1(r,x) to tl.sub.v(x) are then partial deviations dependent on the distance x, w.sub.r(x) and w.sub.l(x) are furthermore the distance-dependent weighting function. The minimization function is then defined as min.sub.r=min A(r)=|(W.sub.rΣ.sub.k=l.sup.u|w.sub.r(x) tr.sub.k(r,x)|−W.sub.lΣ.sub.k=l.sup.v|w.sub.l(x) tl.sub.k (r,x)|)|.
(43) The way in which the partial deviation are ascertained can best be described on the basis of the respective models. In general, it is possible to ascertain partial deviations on the basis of differences. Curve differences, area differences and volume differences can be taken into consideration in this case. Furthermore, there is the possibility of investigating distances at specific locations. One example would involve determining local maximum distances.
(44) The modeling of the headlight light distribution is elucidated below. In a simplest form, this is a section model describing the centroid position of the light distribution. The length of the section is predefinable and can correspond to the low-beam light range, for example.
(45)
(46) In the case of a section model, the partial deviations can be ascertained particularly well as an area determination between the section 83 representing the light distribution and a curve 84 characterizing the roadway course or the lane course. In the case of a roadway running straight ahead, the section 83 and the curve 84 coincide.
(47) In the case of a curve course of a roads or roadway the section 83 and the curve 84 characterizing the roadway course or the lane course diverge from one another. A right-hand curve will be considered as an example in
(48) Since a curve 84 can also be a multiply winding curve, such as an S-curve, the number of areas of the deviation is not restricted to two but rather can also be three or more. Further ascertained areas are subsequently preferably defined iteratively in each case as right-hand or left-hand partial deviation.
(49) The curve can be, in particular, a polygon, a spline or a clothoid. For determining the partial deviations it is also possible to ascertain the area proportion on the left side and on the right side of a travel envelope with respect to the section.
(50) A further embodiment variant for a model of a headlight light distribution is an area model. In a simplest form, the area model in this case is defined by the area 90 between a right-hand delimiting ray 91 and a left-hand delimiting ray 92 up to a predefinable distance 93.
(51) More complex areas 95 that better approximate the actual light distribution than the triangular areas 90 shown can also be used as a model. These areas 95 are then advantageously delimited by at least one curve 96. One example of such an area 95 is illustrated in
(52) The partial deviations can be determined by ascertaining the area on the left and on the right alongside the lane. A further possibility is to determine a deviation from a travelling trajectory. In the case of a non-symmetrical area, it is particularly advantageous here to consider a weighted symmetry for the minimization, such that for example in the vicinity of the vehicle on the left a larger deviation is desired than at a distance. In this case, the weighting function can be chosen depending on the course of the roadway.
(53) In the most general form, the model is a volume model. It is therefore defined three-dimensionally. The advantage here is that a three-dimensional course of the roadway can also be taken into account. For determining the partial deviations it is advantageous here if firstly an intersection area is formed between the volume and the three-dimensional roadway plane. Afterward, the area proportions on the left and on the right alongside the lane on said intersection area can then be determined as partial deviations. Alternatively, the volumes on the left, on the right, above and/or below the lane can be determined as partial deviations.
(54) In this case, the upper partial deviations can be assigned to the right-hand partial deviations and the lower partial deviations can be assigned to the left-hand partial deviations for a symmetrical minimization. Alternatively, it is also possible for only the volume above the lane to be taken into consideration. In the case of a symmetrical minimization, the volume can then be cut into a left-hand partial deviation and a right-hand partial deviation on the basis of a plane through the curve characterizing the roadway course or lane course.
LIST OF REFERENCE SIGNS
(55) 1 Motor vehicle 2 Lighting device 3 Headlight 4 Illuminant 5 Pivoting means 6 Control unit 10 Travelling trajectory, curve course 11 Roadway 12 Lane 13 Monitoring device 14 Road marking 15 Scenario 16 Scenario 17 Scenario 18 Roadway point 19 Distance 20 Straight line 50 Diagram 51 Curve 52 Curve 53 Curve 54 Straight line 55 Area 56 Area 60 Diagram 61 Curve 62 Curve 63 Curve 64 Straight line 65 Area 66 Area 67 Straight line 68 Area 69 Area 70 Diagram 71 Curve 72 Curve 73 Curve 74 Straight line 75 Area 76 Area 77 Straight line 78 Area 79 Area 80 Roadway 81 Vehicle 82 Headlight 83 Section 84 Curve 85 Area 86 Point of intersection 87 Area 90 Area 91 Ray 92 Ray 95 Area 96 Curve