Tusimple, Inc.

Yixin Yang

Dinghua Li

Zehua Huang

Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of a simulated vehicle, and providing a visual feedback of the simulated driving behavior of the simulated vehicle on a simulated road.

Autonomous vehicle simulation system

Disclosed are devices, systems and methods for the operational testing on autonomous vehicles. One exemplary method includes configuring a primary vehicular model with an algorithm, calculating one or more trajectories for each of one or more secondary vehicular models that exclude the algorithm, configuring the one or more secondary vehicular models with a corresponding trajectory of the one or more trajectories, generating an updated algorithm based on running a simulation of the primary vehicular model interacting with the one or more secondary vehicular models that conform to the corresponding trajectory in the simulation, and integrating the updated algorithm into an algorithmic unit of the autonomous vehicle.

Operational testing of autonomous vehicles

Systems and methods of managing error data associated with a vehicle to provide a more user-friendly vehicle error data system. A method of managing error data associated with a vehicle incorporates storing error data in a memory; categorizing the error data via topics or time frame via a processor coupled to the memory; analyzing the error data to result in at least one topic thread or a time thread; selecting desired error data in response to selection of the desired error data from the error data by a user; converting the desired error data into readable information via the processor; and displaying the readable information via a user interface providing a human-machine interaction.

Method and system of managing error data associated with a vehicle

Techniques are disclosed for performing hybrid simulation operations with an autonomous vehicle. A method of testing autonomous vehicle operations includes receiving, by a computer, a pre-configured scenario that includes one or more simulation parameters and one or more initial condition parameters, sending, to the autonomous vehicle and based on the one or more initial condition parameters, control signals that instruct the autonomous vehicle to operate at an operative condition, and in response to determining that the autonomous vehicle is operating at the operative condition, performing a simulation with the one or more simulated objects and the autonomous vehicle to test a response of the autonomous vehicle.

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San Diego, CA, United States of America

Yixin Yang