ALERTING PREDICTED ACCIDENTS BETWEEN DRIVERLESS CARS

• US 20190056730A1
• Filed: 07/23/2018
• Published: 02/21/2019
• Est. Priority Date: 05/27/2015
• Status: Active Grant

• Current Assignee: Dov Moran, Menahem Lasser
• Original Assignee: Dov Moran, Menahem Lasser
• Inventors: MORAN, Dov, LASSER, Menahem
• Granted Patent: US 10,281,914 B2
• Time in Patent Office: Days
• CPC Class Codes: B60W 10/18 including control of braking systems
• CPC Class Codes: B60W 10/20 including control of steering systems
• CPC Class Codes: B60W 2040/0836 due to alcohol
• CPC Class Codes: B60W 2510/18 Braking system
• CPC Class Codes: B60W 2510/20 Steering systems
• CPC Class Codes: B60W 2540/24 Drug level, e.g. alcohol
• CPC Class Codes: B60W 2556/65 Data transmitted between vehicles
• CPC Class Codes: B60W 2710/18 Braking system
• CPC Class Codes: B60W 2710/20 Steering systems
• CPC Class Codes: B60W 30/085 Taking automatic action to adjust vehicle attitude in preparation for collision, e.g. braking for nose dropping
• CPC Class Codes: B60W 30/09 Taking automatic action to avoid collision, e.g. braking and steering
• CPC Class Codes: B60W 30/095 Predicting travel path or likelihood of collision
• CPC Class Codes: B60W 30/0956 the prediction being responsive to traffic or environmental parameters
• CPC Class Codes: B60W 40/08 related to drivers or passengers
• CPC Class Codes: G05D 1/0022 characterised by the communication link data switching networks in general H04L12/00
• CPC Class Codes: G05D 1/0055 with safety arrangements
• CPC Class Codes: G05D 1/0276 using signals provided by a source external to the vehicle involving a plurality of vehicles G05D1/0287; automatically controlling vehicle speed responsive to externally generated signals B60K31/0058
• CPC Class Codes: G08G 1/162 event-triggered
• CPC Class Codes: G08G 1/165 for passive traffic, e.g. including static obstacles, trees
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

This patent application discloses methods and systems for alerting computerized motor-vehicles about predicted accidents. In an example method, a motor vehicle alerts another motor vehicle about a predicted accident, even though that accident is between the alerting car and a third motor vehicle—for example, the alert is transmitted by non-visual electromagnetic (EM) radiation. When an adjacent motor vehicle receives such accident alert and determines it might itself be hit, it will react so as to minimize its chances of being hit or at least to minimize the damage if it is being hit. Optionally, one or more of the motor vehicles has an onboard device for measuring a blood-alcohol level of a human driver thereof. The measured blood-alcohol level may be used to compute a probability of an occurrence of an accident and/or may be included in one or more of the transmitted accident alerts.

Claims

1-73. -73. (canceled)

74. A method for attempting at least one of motor-vehicle accident avoidance and motor-vehicle accident damage minimization, the method comprising:

a. wirelessly transmitting, by non-visual electromagnetic (EM) radiation and from a first motor-vehicle driven by a first driver, first factual input data;

b. receiving the first factual input data at a second motor-vehicle driven by a second driver;

c. in response to the receiving of the first factual input data, wirelessly transmitting by non-visual EM radiation and from the second motor-vehicle, second factual input data comprising blood-alcohol state data of at least one of the first and second drivers;

d. receiving the second factual input data by a third motor-vehicle; and

e. in response to the receiving of the second factual input data, performing by an onboard computer of the third motor-vehicle at least one vehicle control action so as to attempt at least one of the following;

(i) avoiding being involved in a motor-vehicle accident, that is computationally predicted to occur based on the blood-alcohol state data; and

(ii) reducing damage inflicted upon the third motor-vehicle as a result of involvement in the motor-vehicle accident that is computationally predicted to occur based on the blood-alcohol state data.

75. The method of claim 74 wherein:

(i) an onboard alcohol sensor is present in at least one of the first and second motor vehicles; and

(ii) the blood-alcohol state data is acquired by the onboard alcohol sensor.

76. The method of claim 74 wherein:

(i) an onboard alcohol sensor configured to detect driver blood-alcohol level by detecting an amount of alcohol in his/her perspiration is present in at least one of the first and second motor vehicles; and

(ii) the blood-alcohol state data is acquired by the onboard alcohol sensor.

77. A method for responding to a prediction of a potential accident involving first, second and third motor-vehicles, the method comprising:

a. computationally predicting, based on blood-alcohol state data of a human driver and by an onboard computer of the first motor-vehicle, an accident scenario, the accident scenario indicating that the first motor-vehicle might collide with the second motor-vehicle;

b. in response to the predicting, wirelessly transmitting, by non-visual electromagnetic (EM) radiation and from the first motor-vehicle, an accident alert;

c. receiving the accident alert by the third motor-vehicle; and

d. in response to the receiving of the accident alert, attempting, by an onboard computer of the third motor-vehicle, at least one of (i) avoiding colliding with the first motor-vehicle (ii) reducing damage inflicted upon the third motor-vehicle resulting from colliding with the first motor-vehicle, by performing at least one vehicle control action.

78. The method of claim 77 wherein:

(i) an onboard alcohol sensor is present in at least one of the first and second motor vehicles; and

(ii) the blood-alcohol state data is acquired by the onboard alcohol sensor.

79. The method of claim 77 wherein:

(i) an onboard alcohol sensor configured to detect driver blood-alcohol level by detecting an amount of alcohol in his/her perspiration is present in at least one of the first and second motor vehicles; and

(ii) the blood-alcohol state data is acquired by the onboard alcohol sensor.

80. The method of claim 77 wherein the first, second and third motor-vehicles are arranged so that (i) the second motor-vehicle is behind the first motor-vehicle and (ii) the first motor-vehicle is behind the third motor-vehicle.

81. The method of claim 80 wherein the accident scenario indicates that the first motor-vehicle might be hit from behind by the second motor-vehicle.

82. The method of claim 81 wherein the attempting of the onboard computer of the third motor-vehicle is performed so as to avoid being hit from behind by the first motor-vehicle.

83. The method of claim 81 wherein the attempting of the onboard computer of the third motor-vehicle is performed so as to reduce damage inflicted upon the third motor-vehicle resulting from being hit from behind by the first motor-vehicle.

84. A method for handling a prediction that a first motor-vehicle accident involving first and second motor-vehicles will occur, the method comprising:

a. operating an onboard computer of the first motor-vehicle to predict, based on blood-alcohol state data of a human driver, that the first motor-vehicle accident between the first and second motor-vehicles will occur;

b. determining, by the onboard computer of the first motor-vehicle, if changing a velocity of the first motor-vehicle in order to achieve at least one of the following;

(i) avoid the first motor-vehicle accident,

(ii) reduce a likelihood thereof, and

(iii) reduce a severity thereof,

would result in one or more of;

A. a second motor-vehicle accident occurring between the first motor-vehicle and a third motor-vehicle; and

B. an increase in a likelihood that the second motor-vehicle accident will occur; and

c. in response to a positive determining, performing at least one vehicle control action by the onboard computer of the first motor-vehicle for adjusting the velocity of the first motor-vehicle according to at least one of;

i. respective velocities of the second and third motor-vehicles; and

ii. respective accelerations of the second and third motor vehicles.

85. The method of claim 84 wherein:

(i) an onboard alcohol sensor is present in at least one of the second and third motor vehicles; and

(ii) the blood-alcohol state data is acquired by the onboard alcohol sensor.

86. The method of claim 84 wherein:

(i) an onboard alcohol sensor configured to detect driver blood-alcohol level by detecting an amount of alcohol in his/her perspiration is present in at least one of the second and third motor vehicles; and

(ii) the blood-alcohol state data is acquired by the onboard alcohol sensor.

87. A method for attempting at least one of motor-vehicle accident avoidance and motor-vehicle accident damage minimization, the method comprising:

a. wirelessly transmitting, by non-visual electromagnetic (EM) radiation and from a first motor-vehicle, factual input data comprising blood-alcohol state data of a human driver of the first motor vehicle or of another motor vehicle other than the first motor-vehicle;

b. receiving the factual input data at a second motor-vehicle; and

c. in response to the receiving of the factual input data, performing by an onboard computer of the second motor-vehicle at least one vehicle control action so as to attempt at least one of the following;

(i) avoiding being involved in a motor-vehicle accident, that is computationally predicted to occur based on the blood-alcohol state data; and

(ii) reducing damage inflicted upon the second motor-vehicle as a result of involvement in the motor-vehicle accident that is computationally predicted to occur based on the blood-alcohol state data.

88. The method of claim 87 wherein:

(i) an onboard alcohol sensor is present in at least one of the first motor vehicle and the another motor vehicle; and

(ii) the blood-alcohol state data is acquired by the onboard alcohol sensor.

89. The method of claim 87 wherein:

(i) an onboard alcohol sensor configured to detect driver blood-alcohol level by detecting an amount of alcohol in his/her perspiration is present in at least one of the first motor vehicle and the another motor vehicle; and

(ii) the blood-alcohol state data is acquired by the onboard alcohol sensor.