Hybrid simulation system for autonomous vehicles

1. A method of testing autonomous vehicle operation, comprising:

receiving, by a computer in an autonomous vehicle, a pre-configured scenario that includes:

a simulation parameter that indicates a presence of a simulated object in an environment that includes the autonomous vehicle, and

initial condition parameters that indicate an operative condition in which the autonomous vehicle is to be operated when a simulation is performed to test the autonomous vehicle;

sending, by the computer, control signals based on the initial condition parameters that instruct the autonomous vehicle to operate at the operative condition;

determining, by the computer, that the autonomous vehicle is operating at the operative condition;

receiving, by the computer, a status information that indicates a response of the autonomous vehicle to the simulation with the simulated object; and

comparing, by the computer, the response of the autonomous vehicle to an expected response of the autonomous vehicle.

2. The method of claim 1 , wherein the computer determines that the autonomous vehicle is operating at the operative condition by:

receiving, from the autonomous vehicle, another status information that indicates a current driving condition of the autonomous vehicle; and

determining that that the current driving condition is same as the operative condition.

3. The method of claim 1 , further comprising:

performing, based on the simulation parameter, the simulation with the simulated object and the autonomous vehicle.

4. The method of claim 1 , wherein the simulation parameter that indicates the presence of the simulated object includes positions of a simulated vehicle located and driven around the autonomous vehicle.

5. The method of claim 1 , wherein the expected response from the autonomous vehicle includes an expected performance metric or an expected output, wherein the expected performance metric comprises a range of expected response values provided by the pre-configured scenario.

6. The method of claim 1 , wherein the autonomous vehicle has passed the simulation when the response of the autonomous vehicle was a correct operation in response to a simulation performed on the autonomous vehicle, based on comparing the response of the autonomous vehicle to an expected response of the autonomous vehicle.

7. The method of claim 1 , wherein the autonomous vehicle is a semi-trailer truck comprising a cab portion and a trailer portion, further wherein the simulation parameters are designed to test the cab portion separately from the trailer portion.

8. A non-transitory computer readable program storage medium having code stored thereon, the code, when executed by a processor on an autonomous vehicle, causing the processor to implement a method comprising:

receiving a pre-configured scenario that includes:

one or more simulation parameters that indicate presence of one or more simulated objects in an environment that includes the autonomous vehicle, and

one or more initial condition parameters that indicate an operative condition in which the autonomous vehicle is to be operated when a simulation is performed to test the autonomous vehicle;

sending control signals that instruct the autonomous vehicle to operate at the operative condition;

determining that the autonomous vehicle is operating at the operative condition;

receiving, from the autonomous vehicle, a status information that indicates a response of the autonomous vehicle to the simulation with one or more simulated objects; and

comparing the response of the autonomous vehicle to an expected response of the autonomous vehicle.

9. The non-transitory computer readable program storage medium of claim 8 , wherein the autonomous vehicle is determined to operate at the operative condition by causing the processor to implement the method further comprising:

receiving, from the autonomous vehicle, another status information that indicates a current driving condition of the autonomous vehicle; and

determining that that the current driving condition is same as the operative condition.

10. The non-transitory computer readable program storage medium of claim 8 , wherein the processor is caused to implement the method further comprising:

resending the control signals to the autonomous vehicle in response to determining that the autonomous vehicle is not operating at the operative condition.

11. The non-transitory computer readable program storage medium of claim 8 , wherein the processor is caused to implement the method further comprising:

performing, based on the one or more simulation parameters, the simulation with the one or more simulated objects and the autonomous vehicle.

12. The non-transitory computer readable program storage medium of claim 8 , wherein the one or more initial condition parameters include a position, a rotation, a speed, or an acceleration of the autonomous vehicle.

13. The non-transitory computer readable program storage medium of claim 8 , wherein the control signals include a steering angle that controls an amount of steering of the autonomous vehicle, a throttle value that controls a speed of the autonomous vehicle, a brake value to control an amount of braking engaged by the autonomous vehicle, a clutch indication to press or release the clutch of the autonomous vehicle, or a gear shifting information to switch engine gears of the autonomous vehicle.

14. The non-transitory computer readable program storage medium of claim 8 , wherein the autonomous vehicle is a semi-trailer truck.

15. A system for testing autonomous vehicle operation, comprising:

an autonomous vehicle;

a computer configured to:

receive a pre-configured scenario that includes:

one or more simulation parameters that includes an autonomous vehicle, and

one or more initial condition parameters that indicate an operative condition in which the autonomous vehicle is to be operated when a simulation is performed to test the autonomous vehicle;

send control signals that instruct the autonomous vehicle to operate at the operative condition;

determine that the autonomous vehicle is operating at the operative condition;

receive, from the autonomous vehicle, a status information that indicates a response of the autonomous vehicle to the simulation with one or more simulated objects; and

compare the response of the autonomous vehicle to an expected response of the autonomous vehicle.

16. The system of claim 15 , wherein the processor is further configured to: perform, based on the one or more simulation parameters, the simulation with the one or more simulated objects and the autonomous vehicle.

17. The system of claim 15 , wherein the processor is configured to determine that the autonomous vehicle is operating at the operative condition by having the processor being configured to:

receive, from the autonomous vehicle, another status information that indicates a current driving condition of the autonomous vehicle; and

determine that that the current driving condition is same as the operative condition.

18. The system of claim 15 , wherein the processor is further configured to:

send a message to be displayed on the computer, wherein the message indicates that the autonomous vehicle has passed or failed the simulation.

19. The system of claim 15 , wherein the one or more simulation parameters include a first set of one or more locations of one or more vehicles or a second set of one or more locations of one or more pedestrians.

20. The system of claim 15 , wherein the one or more initial condition parameters include a position, a rotation, a speed, or an acceleration of the autonomous vehicle.