We present a two-level structure for learning and generalizing motion primitives through demonstrations. The lower-level motion primitives are generated under ...
Abstract—Considering the driving habits which are learned from the naturalistic driving data in the path-tracking system.
Jun 26, 2018 · PDF | On Jun 1, 2018, Boyang Wang and others published Learning and Generalizing Motion Primitives From Driving Data for Path-Tracking ...
The proposed method can extract the motion primitives from the driving data and predict the future lateral control commands with high accuracy and shows how ...
We present a two-level structure for learning and generalizing motion primitives through demonstrations. The lower-level motion primitives are generated under ...
Considering the driving habits which are learned from the naturalistic driving data in the path-tracking system can significantly improve the acceptance of ...
Bibliographic details on Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications.
Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications · no code implementations • 2 Jun 2018 • Boyang Wang, Zirui Li ...
Sep 17, 2018 · Therefore, the purpose of this paper is to segment unlabeled trajectory data into a library of motion primitives. By applying a probabilistic ...
Missing: Generalizing Tracking
Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications ... Therefore, the goal of this paper is to generate the prediction ...