Method for Determining the Probability of a Collision of a Vehicle With a Living Being

• US 20110246156A1
• Filed: 12/15/2009
• Published: 10/06/2011
• Est. Priority Date: 12/23/2008
• Status: Abandoned Application

• Current Assignee: Continental Safety Engineering International GmbH (Continental AG)
• Original Assignee: Continental Safety Engineering International GmbH (Continental AG)
• Inventors: Zecha, Stephan, Bauer, Woldemar
• Application Number:
  US13/132,906
• Publication Number:
  US 20110246156A1
• Time in Patent Office: Days
• US Class Current: 703/6
• CPC Class Codes: G06V 40/103 Static body considered as a whole, e.g. static pedestrian or occupant recognition
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

The invention describes a method for determining the probability of a collision of a vehicle with a living being, in which the behaviour in space and time of the living being is modelled by means of a behavioural model and the behaviour in space and time of the vehicle is modelled by means of a kinematic model and, starting from the current positions of the vehicle and the living being, at least one trajectory for each of them is determined. According to the invention, the current positions of the living being and of the vehicle are used to compute trajectories of the vehicle and of the living being as a trajectory pair until said trajectory pair either indicates a collision or indicates no collision, whereupon the number of trajectory pairs indicating a collision is determined, and the probability of a collision is determined as the quotient of the number of trajectory pairs indicating a collision and the total number of trajectory pairs that have been computed.

Claims

1. A method for determining the probability of a collision of a vehicle (1) with a living being (2), in which the behaviour in space and time of the living being (2) is modelled by means of a behavioural model and the behaviour in space and time of the vehicle (1) is modelled by means of a kinematic model and, starting from the current positions of the vehicle (1) and the living being (2), at least one trajectory (4) for each of them is determined, characterized in that

b) the current positions of the living being (2) and of the vehicle (1) are used to compute trajectories (3, 4) of the vehicle (1), based on the kinematic model, and of the living being (2), based on the behavioural model, as a trajectory pair until said trajectory pair either indicates a collision or indicates no collision,

c) the number of trajectory pairs indicating a collision is determined, and

d) the probability of a collision is determined as the quotient of the number of trajectory pairs indicating a collision and the total number of trajectory pairs that have been computed.

2. A method according to claim 1, characterized in that a collision is indicated if the distance between the vehicle (1) and the living being (2) which is indicated by the trajectories (3, 4) of a trajectory pair is below a predefined threshold.

31. The method according to claim 1, characterized in that the method steps b) to d) are repeated at time increments (T₁, T₂, T₃, . . . ).

32. The method according to claim 1, characterized in that the behavioral model is used to determine potential positions of the living being (2) for one or for several moments in time, taking into account the state of motion at the time when the computation of a trajectory pair starts.

33. The method according to claim 1, characterized in that the behavioral model takes into account the physical and physiological movement ability of the living being (2) and/or behavioral patterns of the living being (2) that have been determined empirically.

34. The method according to claim 33, characterized in that the behavioral model is used to determine potential positions of the living being (2) for one or for several moments in time, taking into account the state of motion at the time when the computation of a trajectory pair starts, and in that one or several of the following parameters are determined and processed as parameters for the determination of the state of motion and/or of the potential future position:

a rotational speed of the living being (2),

a rotational acceleration about a vertical axis of the living being (2),

a current radius of curvature of the movement of the living being (2),

a change in a direction of movement or of a radius of curvature of the movement of the living being (2),

an inertia of the living being (2),

a ground friction coefficient of the road surface, which in particular depends on the weather,

a class of the living being (2), in particular an age, a predefined body dimension (e.g. height, leg length or inside leg length), a gender or a category (e.g. human being/animal/child/cyclist),

an ability to move by means of one or several sideways steps,

an ability to move by means of one or several backward steps,

an ability to move by moving the center of gravity, and

an ability to move by inclining the body.

35. The method according to claim 34, characterized in that one or several of the following parameters are determined and processed as parameters for the determination of the state of motion and/or of the potential future position:

a position of the living being (2),

an orientation of the living being (2) relative to the surroundings,

a translational speed of the living being (2),

a translational acceleration of the living being (2),

the chronological development of at least one of the aforesaid parameters.

36. The method according to claim 34, characterized in that a potential future position of the living being (2) which has reference to the parameter(s) that has/have been determined or to the chronological development of at least one of the parameters that have been determined is retrieved or determined from a database or a family of characteristics or an analytical model.

37. The method according to claim 34, characterized in that one or several of the parameters are supplied to a model computer in order to determine a potential position of the living being (2), wherein said model computer is based on an abstract motion model for living beings (2).

38. The method according to claim 33, characterized in that a path of movement, which is dependent on the current speed, the current orientation and the current rotation of the body, is taken into account for the determination of the potential future position.

39. The method according to claim 33, characterized in that the maximum acceleration ability of the living being (2), which is dependent on his/her speed of movement, is taken into account for the determination of the potential future position.

40. The method according to claim 39, characterized in that dependent on the speed of movement of the living being (2) and in addition to a maximum acceleration ability in the current direction of movement, a maximum acceleration ability opposite to the current direction of movement and/or orientation of the living being (2) is predefined.

41. The method according to claim 40, characterized in that at least one of the following parameters is predefined for the living being (2):

a maximum speed from which the acceleration ability in the current direction of movement is zero,

a maximum acceleration in the direction of orientation of a non-moving living being (2) as well opposite to said orientation,

a speed at which the maximum acceleration ability in the current direction of movement is highest,

a speed at which the maximum acceleration ability opposite to the current direction of movement and/or orientation of the living being (2) is highest in value, a maximum speed opposite to the orientation of the living being (2) from which the acceleration ability opposite to said orientation is zero,

wherein these values are preferably predefined as a function of the class of living being (2) concerned, in particular varying according to age, gender and body dimensions.

42. The method according to claim 33, characterized in that a minimum possible curve radius, which is dependent on the current walking speed and/or acceleration, is taken into account for the determination of the potential future position.

43. The method according to claim 33, characterized in that a maximum deceleration ability, which is dependent on the speed of movement and/or a curve radius of the movement made by the living being (2), is taken into account for the determination of the potential future position.

44. The method according to claim 33, characterized in that an angle at which the living being (2) is positioned or moves relative to a path of travel of the vehicle (1) is taken into account for the determination of the potential future position, wherein said angle is used to determine the amount of time it takes the living being (2) to turn towards the path of travel while accelerating substantially at the same time in order to reach the travel path area.

45. The method according to claim 44, characterized in that the angle taken into account is an angle ranging between 150°

and 210°

, thus taking into account a living being (2) that is positioned or moves with his/her back to the path of travel.

46. The method according to claim 44, characterized in that the angle taken into account is an angle ranging between 60°

and 120°

, thus taking into account a living being (2) that is positioned or moves with his/her side to the path of travel.

47. The method according to claim 33, characterized in that the potential future position is determined taking into account a relative position of the living being (2) to a path of travel, in particular a distance at which the living being (2) is positioned or moves relative to said path of travel, wherein said relative position is used to determine the amount of time it takes the living being (2) a to speed up in order to reach the travel path area.

48. The method according to claim 33, characterized in that surroundings information and/or obstacles are taken into account for the determination of the potential future position.

49. The method according to claim 1, wherein before the vehicle (200) is put into operation, a finite number of typical initial situations of motion (BSi(vi, ai, wi)) for different types of pedestrians (100) are measured and stored in a memory which is located aboard the vehicle (200).

50. The method according to claim 49, wherein a group (TSi) of potential movement trajectories (Ti1, Ti2, . . . , Ti10) is computed for a predefined period of time comprising increments (Δ

t) for each of these initial situations of motion (BSi(vi, ai, wi)).

51. The method according to claim 50, wherein the initial situations of motion (BSi(vi, ai, wi)) and the trajectory groups (TSi) that have been computed are stored in the memory aboard the vehicle.

52. The method according to claim 51, wherein the risk of a collision is computed with the following method steps during operation of the vehicle:

the state of motion of the pedestrian (100) is detected using a suitable sensor system;

the nearest initial situation of motion (BSi(vi, ai, wi)) of the pedestrian (100), which was measured and stored in the memory before the vehicle (200) was put into operation, is selected; and

the trajectory group (TSi) which was computed for the selected initial situation of motion (BSi(vi, ai, wi)) before the vehicle (200) was put into operation and is stored with reference to said initial situation of motion (BSi(vi, ai, wi)) is retrieved and placed around the position of the pedestrian (100) that has been detected, in accordance with the orientation of said pedestrian (100).

53. The method according to claim 52, wherein the risk of a collision is further computed with the following method steps:

the travel of the vehicle is extrapolated at small time increments, thus obtaining a driving path (210), wherein said driving path (210) comprises collision zones (221, 222, 223, 224) at respective time increments (t1, t2, t3, t4);

at each time increment (t1, t2, t3, t4), only the position points (p10, . . . , p19;

p20, . . . , p29;

p30, . . . , p39;

p40, . . . , p49) of the trajectories (Ti1, Ti2, . . . , Ti10) of the selected trajectory group (TSi) are analyzed, wherein said position points (p10, . . . , p19;

p20, . . . , p29;

p30, . . . , p39;

p40, . . . , p49) at the respective time increment (t1, t2, t3, t4) reflect the potential positions of the pedestrian (100) at said time increment (t1, t2, t3, t4);

next, it is checked whether the selected position m points (p10, . . . , p19;

p20, . . . , p29;

p30, . . . , p39;

p40, . . . , p49) are located within the collision zone (221, 222, 223, 224) of the vehicle (200); and

the number of trajectories (Ti1, Ti2, Ti3, Ti10) within the trajectory group (TSi) comprising the position points (p10, p21, p29, p32) which are located within one of the collision zones (221, 222, 223, 224) of the vehicle (200) and predict a single collision between the vehicle (200) and the pedestrian (100) is determined.

54. The method according to claim 53, wherein those trajectories (Ti1, Ti2, Ti3, Ti10) comprising the position points (p10, p21, p29, p32) which are located within one of the collision zones (221, 222, 223, 224) of the vehicle (200) and predict a single collision between the vehicle (200) and the pedestrian (100) are disregarded in the subsequent computation steps for the next time increments (t2, t3, t4).

55. The method according to claim 52, wherein the method steps are repeated at time increments (Δ

t) in order to determine the number of trajectories (Ti1, Ti2, Ti3, Ti10) comprising the position points (p10, p21, p29, p32) which are located within one of the collision zones (221, 222, 223, 224) of the vehicle (200) and predict a single collision between the vehicle (200) and the pedestrian (100) for the subsequent time increments (t2, t3, t4).

56. The method according to claim 52, wherein the method steps are continued to be carried out until the vehicle (200) has passed the pedestrian (100) to an extent that no further collisions between the vehicle (200) and the pedestrian (100) may occur.

57. The method according to claim 56, wherein the total number of trajectories (Ti1, Ti2, Ti3, Ti10) comprising at least one position point (p10, p21, p29, p32) which is located within one of the collision zones (221, 222, 223, 224) of the vehicle (200) is determined, and the quotient (Q) of the total number of collision trajectories (Ti1, Ti2, Ti3, Ti10) and the total number of trajectories (Ti1, . . . , Ti10) is computed.

3-30. -30. (canceled)

58. A vehicle comprising a protection system for living beings (2) outside said vehicle (1), in particular pedestrian protection devices

comprising at least one sensing system to obtain surroundings information,

comprising a computing unit which evaluates said surroundings information in order to identify a living being, in particular a pedestrian (2), determines a movement trajectory for each of the living being (2) and the vehicle (1) as a trajectory pair, and uses said trajectory pair to deduce the probability of a collision and hence the necessity to activate a protection system, wherein

the sensing system is designed to detect parameters of living beings (2) and of their physiological movement ability, and

the computing unit is designed to determine the potential future position at a given moment in time, based on a location of the movement trajectory and on the state of motion and taking into account a physiological movement ability of the living being (2) for one or several future moments in time.