Abstract: Embodiments of the present disclosure disclose a method and apparatus for exporting a driving property index of an autonomous vehicle. A specific implementation of the method comprises: constructing a driving scenario of an autonomous vehicle by using a preset driving parameter; acquiring a driving state information set of the autonomous vehicle under the driving scenario; fitting a driving curve by using the driving state information set; and acquiring and exporting a driving property index of the autonomous vehicle by analyzing the driving curve. The implementation improves the accuracy of the acquired driving property index of the autonomous vehicle, controls the autonomous vehicle on the basis of the driving property index of high accuracy, and is helpful to realize safe driving of the autonomous vehicle.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for exporting a driving property index of an autonomous vehicle. A specific implementation of the method comprises: constructing a driving scenario of an autonomous vehicle by using a preset driving parameter; acquiring a driving state information set of the autonomous vehicle under the driving scenario; fitting a driving curve by using the driving state information set; and acquiring and exporting a driving property index of the autonomous vehicle by analyzing the driving curve. The implementation improves the accuracy of the acquired driving property index of the autonomous vehicle, controls the autonomous vehicle on the basis of the driving property index of high accuracy, and is helpful to realize safe driving of the autonomous vehicle.

Abstract: Methods and systems for operating an autonomous driving vehicle (ADV) are disclosed. A current state of an ADV is sampled at a first time to obtain a set of parameters. A cost, from a cost function that reflects desired control goals, is generated for a future time horizon based at least in part on the set of parameters. The cost is minimized with one or more constraints to obtain target control input values. For each of the target control input values, a lookup operation is performed using the control input value to locate a first mapping entry that approximately corresponds to the control input value. A first control command is derived from the first mapping entry. The ADV is controlled using the derived first control command.

Abstract: Methods and systems for operating an autonomous driving vehicle (ADV) are disclosed. A current state of an ADV is sampled at a first time to obtain a set of parameters. A cost, from a cost function that reflects desired control goals, is generated for a future time horizon based at least in part on the set of parameters. The cost is minimized with one or more constraints to obtain target control input values. For each of the target control input values, a lookup operation is performed using the control input value to locate a first mapping entry that approximately corresponds to the control input value. A first control command is derived from the first mapping entry. The ADV is controlled using the derived first control command.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for exporting a driving property index of an autonomous vehicle. A specific implementation of the method comprises: constructing a driving scenario of an autonomous vehicle by using a preset driving parameter; acquiring a driving state information set of the autonomous vehicle under the driving scenario; fitting a driving curve by using the driving state information set; and acquiring and exporting a driving property index of the autonomous vehicle by analyzing the driving curve. The implementation improves the accuracy of the acquired driving property index of the autonomous vehicle, controls the autonomous vehicle on the basis of the driving property index of high accuracy, and is helpful to realize safe driving of the autonomous vehicle.