Systems and methods for controlling actuators based on load characteristics and passenger comfort

1. A method comprising:

selecting, using one or more processors of an autonomous vehicle, a vehicle operation profile for the autonomous vehicle, wherein the vehicle operation profile comprises at least one of a lateral clearance of the autonomous vehicle from an object or a pedestrian located in an environment containing the autonomous vehicle travelling along a trajectory, the lateral clearance representing a distance between a respective travel segment of the trajectory and the object or pedestrian, the selecting comprising:

determining whether at least one passenger located within the autonomous vehicle is a new passenger,

in response to determining that the at least one passenger is not a new passenger, determining a stored passenger profile of the at least one passenger and selecting the vehicle operation profile for the autonomous vehicle at least partially based on data received from the stored passenger profile of the at least one passenger, and

in response to determining that the at least one passenger is a new passenger, determining a stored passenger profile of a particular passenger not presently riding in the autonomous vehicle and demographically similar to the new passenger located within the autonomous vehicle, and selecting the vehicle operation profile for the autonomous vehicle at least partially based on data received from the stored passenger profile of the particular passenger not presently riding in the autonomous vehicle;

measuring, using one or more passenger sensors of the autonomous vehicle, passenger comfort data of the at least one passenger, the passenger comfort data representing a level of passenger comfort experienced during a ride with respect to the selected vehicle operation profile;

updating, using the one or more processors, the selected vehicle operation profile based on the passenger comfort data;

navigating, using a control module of the autonomous vehicle, the autonomous vehicle using the updated vehicle operation profile; and

adjusting the trajectory of the autonomous vehicle based on at least one of the passenger comfort data or data received from the stored passenger profile of the at least one passenger.

2. The method of claim 1 , wherein the passenger comfort data comprises biometric data of the at least one passenger.

3. The method of claim 1 , wherein the stored passenger profile of the at least one passenger comprises biometric data of the at least one passenger recorded on previous vehicle rides.

4. The method of claim 1 , wherein demographic data included in the stored passenger profile of the at least one passenger comprises demographic data of the at least one passenger recorded on previous vehicle rides or obtained from the at least one passenger.

5. The method of claim 1 , wherein the stored passenger profile of the at least one passenger comprises personal preference data of the at least one passenger recorded on previous vehicle rides or obtained from the at least one passenger.

6. The method of claim 1 , wherein the one or more passenger sensors comprise:

one or more biometric sensors, and the passenger comfort data comprises at least one of a skin conductance, a pulse, a heart-rate, or a body temperature; and/or

one or more imaging sensors, and the passenger comfort data comprises at least one of facial expressions or a magnitude of pupil dilation; and/or

one or more pressure sensors, and the passenger comfort data comprises a pressure exerted by the at least one passenger on seat arm rests; and/or

at least one of a heart rate monitor, a sphygmomanometer, a pupilometer, an infrared thermometer, or a galvanic skin response sensor.

7. The method of claim 1 , wherein the passenger comfort data is associated with at least one of a time of day, a geographical location, a pattern of traffic, or a weather pattern.

8. The method of claim 1 , wherein the vehicle operation profile comprises at least one of a maximum speed limit, a maximum longitudinal acceleration limit, a maximum amplitude of fluctuation of acceleration, a maximum lateral acceleration, a maximum change in steering angle, a maximum rate of turn, or a maximum limit on a magnitude of jerk of the autonomous vehicle.

9. The method of any one of claims 1 to 8 , wherein the demographic data of a respective stored passenger profile includes one or more of an age, an address, a gender, a state or city of residence, an occupation, an income, and an education of a respective passenger associated with the respective stored passenger profile.

10. The method of claim 1 , wherein the vehicle operation profile is determined based on data received, using an input device of the autonomous vehicle, from the at least one passenger.

11. The method of claim 1 , wherein the passenger comfort data is measured at different operating speeds of the autonomous vehicle.

12. The method of claim 1 , further comprising:

transmitting, using a display of the autonomous vehicle, data representing ride pricing incentives to the at least one passenger to incentivize the at least one passenger to allow biometric data collection within the autonomous vehicle.

13. A system, comprising:

at least one processor, and

at least one non-transitory storage media storing instructions that, when executed by the at least one processor, cause the at least one processor to:

select a vehicle operation profile for an autonomous vehicle, wherein the vehicle operation profile comprises at least one of a lateral clearance of the autonomous vehicle from an object or a pedestrian located in an environment containing the autonomous vehicle travelling along a trajectory, the lateral clearance representing a distance between a respective travel segment of the trajectory and the object or pedestrian, the selecting comprising:

determining whether at least one passenger located within the autonomous vehicle is a new passenger,

in response to determining that the at least one passenger is not a new passenger, determining a stored passenger profile of the at least one passenger and selecting the vehicle operation profile for the autonomous vehicle at least partially based on data received from the stored passenger profile of the at least one passenger, and

in response to determining that the at least one passenger is a new passenger, determining a stored passenger profile of a particular passenger not presently riding in the autonomous vehicle and demographically similar to the new passenger located within the autonomous vehicle, and selecting the vehicle operation profile for the autonomous vehicle at least partially based on data received from the stored passenger profile of the particular passenger not presently riding in the autonomous vehicle;

measure passenger comfort data of the at least one passenger, the passenger comfort data representing a level of passenger comfort experienced during a ride with respect to the selected vehicle operation profile;

update the selected vehicle operation profile based on the passenger comfort data;

navigate the autonomous vehicle using the updated vehicle operation profile; and

adjust the trajectory of the autonomous vehicle based on at least one of the passenger comfort data or data received from the stored passenger profile of the at least one passenger.

14. The system of claim 13 , wherein the passenger comfort data comprises biometric data of the at least one passenger.

15. The system of claim 13 , wherein the stored passenger profile of the at least one passenger comprises biometric data of the at least one passenger recorded on previous vehicle rides.

16. The system of claim 13 , wherein demographic data included in the stored passenger profile of the at least one passenger comprises demographic data of the at least one passenger recorded on previous vehicle rides or obtained from the at least one passenger.

17. The system of claim 13 , wherein one or more passenger sensors comprise:

one or more biometric sensors, and the passenger comfort data comprises at least one of a skin conductance, a pulse, a heart-rate, or a body temperature; and/or

one or more imaging sensors, and the passenger comfort data comprises at least one of facial expressions or a magnitude of pupil dilation; and/or

one or more pressure sensors, and the passenger comfort data comprises a pressure exerted by the at least one passenger on seat arm rests; and/or

at least one of a heart rate monitor, a sphygmomanometer, a pupilometer, an infrared thermometer, or a galvanic skin response sensor.

18. At least one non-transitory storage media storing instructions that, when executed by at least one processor, cause the at least one processor to:

select a vehicle operation profile for an autonomous vehicle, wherein the vehicle operation profile comprises at least one of a lateral clearance of the autonomous vehicle from an object or a pedestrian located in an environment containing the autonomous vehicle travelling along a trajectory, the lateral clearance representing a distance between a respective travel segment of the trajectory and the object or pedestrian, the selecting comprising:

determining whether at least one passenger located within the autonomous vehicle is a new passenger,

in response to determining that the at least one passenger is not a new passenger, determining a stored passenger profile of the at least one passenger and selecting the vehicle operation profile for the autonomous vehicle at least partially based on data received from the stored passenger profile of the at least one passenger, and

in response to determining that the at least one passenger is a new passenger, determining a stored passenger profile of a particular passenger not presently riding in the autonomous vehicle and demographically similar to the new passenger located within the autonomous vehicle, and selecting the vehicle operation profile for the autonomous vehicle at least partially based on data received from the stored passenger profile of the particular passenger not presently riding in the autonomous vehicle;

measure passenger comfort data of the at least one passenger, the passenger comfort data representing a level of passenger comfort experienced during a ride with respect to the selected vehicle operation profile;

update the selected vehicle operation profile based on the passenger comfort data;

navigate the autonomous vehicle using the updated vehicle operation profile; and

adjust the trajectory of the autonomous vehicle based on at least one of the passenger comfort data or data received from the stored passenger profile of the at least one passenger.

19. The at least one non-transitory storage media of claim 18 , wherein the passenger comfort data is associated with at least one of a time of day, a geographical location, a pattern of traffic, or a weather pattern.

20. The at least one non-transitory storage media of claim 18 , wherein the vehicle operation profile comprises at least one of a maximum speed limit, a maximum longitudinal acceleration limit, a maximum amplitude of fluctuation of acceleration, a maximum lateral acceleration, a maximum change in steering angle, a maximum rate of turn, or a maximum limit on a magnitude of jerk of the autonomous vehicle.