System and method for vehicle collision mitigation with vulnerable road user context sensing
First Claim
1. A computer-implemented method for vehicle collision mitigation with vulnerable road user context sensing, comprising:
- determining one or more biosignal parameters and one or more physical movement parameters associated with a vulnerable road user (VRU), wherein the one or more biosignal parameters associated with the VRU include data pertaining to at least one of;
a heart rate, a respiration rate, and a blood pressure associated with the VRU, wherein the one or more physical movement parameters associated with the VRU include data pertaining to a location and movement of the VRU, wherein determining the one or more biosignal parameters and the one or more physical movement parameters associated with the VRU includes determining exercise threshold values of the VRU, wherein it is determined if a requisite amount of biosignal parameter data and physical movement parameter data have been received to determine the exercise threshold values of the VRU, wherein upon determining that the requisite amount of biosignal parameter data and physical movement parameter data have been received, the biosignal parameter data and extracted velocity data of the VRU are aggregated to determine average biosignal parameter values while the VRU is moving at particular velocities;
determining a context of the VRU based on the one or more biosignal parameters and one or more physical movement parameters associated with the VRU;
determining one or more physical movement parameters associated with a vehicle, wherein the one or more physical movement parameters associated with the vehicle include data pertaining to a location and movement of the vehicle;
estimating a probability of collision between the VRU and the vehicle based on the context of the VRU, the one or more physical movement parameters associated with the VRU, and the one or more physical movement parameters associated with the vehicle; and
providing a human machine interface output response based on the estimation of the probability of collision between the VRU and the vehicle, wherein the human machine interface output response is provided on at least one of the following;
a head unit of the vehicle, a wearable computing device, and a portable device includes controlling a braking system of the vehicle to decelerate a speed of the vehicle in a manner that corresponds to the estimation of the probability of collision between the VRU and the vehicle.
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Abstract
A system and method for vehicle collision mitigation with vulnerable road user context sensing. The system and method include determining one or more biosignal parameters and one or more physical movement parameters associated with a vulnerable road user (VRU). The system and method also include determining a context of the VRU based on the one or more biosignal parameters and one or more physical movement parameters associated with the VRU. Additionally, the system and method include determining one or more physical movement parameters associated with a vehicle. The system and method further include estimating a probability of collision between the VRU and the vehicle based on the context of the VRU, the one or more physical movement parameters associated with the VRU, and the one or more physical movement parameters associated with the vehicle. The system and method also include providing a human machine interface output response based on the estimation of probability of collision between the VRU and the vehicle, wherein the human machine interface output response is provided on at least one of the following: a head unit of the vehicle, a wearable computing device, and a portable device.
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Citations
20 Claims
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1. A computer-implemented method for vehicle collision mitigation with vulnerable road user context sensing, comprising:
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determining one or more biosignal parameters and one or more physical movement parameters associated with a vulnerable road user (VRU), wherein the one or more biosignal parameters associated with the VRU include data pertaining to at least one of;
a heart rate, a respiration rate, and a blood pressure associated with the VRU, wherein the one or more physical movement parameters associated with the VRU include data pertaining to a location and movement of the VRU, wherein determining the one or more biosignal parameters and the one or more physical movement parameters associated with the VRU includes determining exercise threshold values of the VRU, wherein it is determined if a requisite amount of biosignal parameter data and physical movement parameter data have been received to determine the exercise threshold values of the VRU, wherein upon determining that the requisite amount of biosignal parameter data and physical movement parameter data have been received, the biosignal parameter data and extracted velocity data of the VRU are aggregated to determine average biosignal parameter values while the VRU is moving at particular velocities;determining a context of the VRU based on the one or more biosignal parameters and one or more physical movement parameters associated with the VRU; determining one or more physical movement parameters associated with a vehicle, wherein the one or more physical movement parameters associated with the vehicle include data pertaining to a location and movement of the vehicle; estimating a probability of collision between the VRU and the vehicle based on the context of the VRU, the one or more physical movement parameters associated with the VRU, and the one or more physical movement parameters associated with the vehicle; and providing a human machine interface output response based on the estimation of the probability of collision between the VRU and the vehicle, wherein the human machine interface output response is provided on at least one of the following;
a head unit of the vehicle, a wearable computing device, and a portable device includes controlling a braking system of the vehicle to decelerate a speed of the vehicle in a manner that corresponds to the estimation of the probability of collision between the VRU and the vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for providing vehicle collision mitigation with vulnerable road user context sensing, comprising:
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a vulnerable road user (VRU) vehicle collision mitigation application that is executed on at least one of;
a wearable computing device worn by and/or in possession of the vulnerable road user, a portable device in possession of the VRU, and a head unit of a vehicle, wherein the wearable computing device includes biosignal sensors and physical signal sensors, the portable device includes physical signal sensors, and the vehicle includes vehicle sensors;a VRU bio-movement learning module that is included as a module of the VRU vehicle collision mitigation application that determines one or more biosignal parameters and physical movement parameters associated with the VRU, wherein the one or more biosignal parameters associated with the VRU include data pertaining to at least one of;
a heart rate, a respiration rate, and a blood pressure associated with the VRU, wherein the one or more physical movement parameters associated with the VRU include data pertaining to a location and movement of the VRU, wherein determining the one or more biosignal parameters and the one or more physical movement parameters associated with the VRU includes determining exercise threshold values of the VRU, wherein it is determined if a requisite amount of biosignal parameter data and physical movement parameter data have been received to determine the exercise threshold values of the VRU, wherein upon determining that the requisite amount of biosignal parameter data and physical movement parameter data have been received, the biosignal parameter data and extracted velocity data of the VRU are aggregated to determine average biosignal parameter values while the VRU is moving at particular velocities;a VRU context determination module that is included as a module of the VRU vehicle collision mitigation application that determines a context of the VRU based on the one or more biosignal parameters and the physical movement parameters associated with the VRU; a vehicle physical movement determination module that is included as a module of the VRU vehicle collision mitigation application that determines one or more physical movement parameters associated with the vehicle, wherein the one or more physical movement parameters associated with the vehicle include data pertaining to a location and movement of the vehicle; a collision probability estimation module that is included as a module of the VRU vehicle collision mitigation application that estimates a probability of collision between the VRU and the vehicle based on the context of the VRU, the one or more physical movement parameters associated with the VRU, and the one or more physical movement parameters associated with the vehicle; and a human machine interface (HMI) output control module that is included as a module of the VRU vehicle collision mitigation application that provides a human machine interface output response based on the estimation of the probability of collision between the VRU and the vehicle, wherein the human machine interface output response is provided on at least one of the following;
the head unit of the vehicle, the wearable device, and the portable device includes controlling a braking system of the vehicle to decelerate a speed of the vehicle in a manner that corresponds to the estimation of the probability of collision between the VRU and the vehicle. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A non-transitory computer-readable storage medium storing instructions that when executed by a processor of a computer, causes the processor of the computer to implement a method perform actions, comprising:
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determining one or more biosignal parameters and one or more physical movement parameters associated with a vulnerable road user (VRU), wherein the one or more biosignal parameters associated with the VRU include data pertaining to at least one of;
a heart rate, a respiration rate, and a blood pressure associated with the VRU, wherein the one or more physical movement parameters associated with the VRU include data pertaining to a location and movement of the VRU, wherein determining the one or more biosignal parameters and the one or more physical movement parameters associated with the VRU includes determining exercise threshold values of the VRU, wherein it is determined if a requisite amount of biosignal parameter data and physical movement parameter data have been received to determine the exercise threshold values of the VRU, wherein upon determining that the requisite amount of biosignal parameter data and physical movement parameter data have been received, the biosignal parameter data and extracted velocity data of the VRU are aggregated to determine average biosignal parameter values while the VRU is moving at particular velocities;determining a context of the VRU based on the one or more biosignal parameters and one or more physical movement parameters associated with the VRU; determining one or more physical movement parameters associated with a vehicle, wherein the one or more physical movement parameters associated with the vehicle include data pertaining to a location and movement of the vehicle; estimating a probability of collision between the VRU and the vehicle based on the context of the VRU, the one or more physical movement parameters associated with the VRU, and the one or more physical movement parameters associated with the vehicle; and providing a human machine interface output response based on the estimation the of probability of collision between the VRU and the vehicle, wherein the human machine interface output response is provided on at least one of the following;
a head unit of the vehicle, a wearable device, and a portable device includes controlling a braking system of the vehicle to decelerate a speed of the vehicle in a manner that corresponds to the estimation of the probability of collision between the VRU and the vehicle. - View Dependent Claims (20)
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Specification