According to one embodiment, when a predicted trajectory is received, a set of one or more features are extracted from at least some of the trajectory points of the predicted trajectory. The predicted trajectory is predicted using a prediction method or algorithm based on perception data perceiving an object within a driving environment surrounding an autonomous driving vehicle (ADV). The extracted features are fed into a predetermined DNN model to generate a similarity score. The similarity score represents a difference or similarity between the predicted trajectory and a prior actual trajectory that was used to train the DNN model. The similarity score can be utilized to evaluate the prediction method that predicted the predicted trajectory.
EVALUATION FRAMEWORK FOR PREDICTED TRAJECTORIES IN AUTONOMOUS DRIVING VEHICLE TRAFFIC PREDICTION
2018-12-27
Patent
Electronic Resource
English
Evaluation framework for predicted trajectories in autonomous driving vehicle traffic prediction
European Patent Office | 2023
|AUTONOMOUS VEHICLE USER INTERFACE WITH PREDICTED TRAJECTORIES
European Patent Office | 2021
|AUTONOMOUS VEHICLE USER INTERFACE WITH PREDICTED TRAJECTORIES
European Patent Office | 2021
|AUTONOMOUS VEHICLE USER INTERFACE WITH PREDICTED TRAJECTORIES
European Patent Office | 2021
|AUTONOMOUS VEHICLE USER INTERFACE WITH PREDICTED TRAJECTORIES
European Patent Office | 2021
|