Abstract: A computer-implemented method of evaluating the performance of a trajectory planner for a mobile robot in a real or simulated scenario, comprises receiving scenario ground truth of the scenario, the scenario ground truth generated using the trajectory planner to control an ego agent of the scenario responsive to at least one scenario element of the scenario. One or more performance evaluation rules for the scenario and at least one activation condition for each performance evaluation rule are received. A test oracle processes the scenario ground truth to determine whether the activation condition of each performance evaluation rule is satisfied over multiple time steps of the scenario. Each performance evaluation rule is evaluated by the test oracle, to provide at least one test result, only when its activation condition is satisfied.

Abstract: A computer system receives scenario data generated using a trajectory planner to control an ego agent responsive to at least one other agent in a real or simulated scenario. A test oracle provides predetermined extractor functions for extracting time-varying numerical signals from the scenario data and predetermined assessor functions for assessing the extracted time-varying signals. The test oracle applies, to the scenario data, a rule graph comprising extractor nodes and assessor nodes. Each extractor node applies one of the predetermined extractor functions to the scenario data to extract an output in the form of a time-varying numerical signal. Each assessor node has one or more child nodes, each child node being one of the extractor nodes or another of the assessor nodes, and the assessor node applies one of the predetermined assessor functions to the output(s) of its child node(s).