A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles
By Y. Rasekhipour, Amir Khajepour, Shih-Ken Chen, Bakhtiar Litkouhi. IEEE transactions on intelligent transportation systems (Print), 2017
534 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/f525acd466d21c648371cbbdfbc39dedbf21d30b
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In Automotive Engineering
In Computer Vision and Pattern Recognition
Citations in the corpus
- A Review of Motion Planning for Highway Autonomous Driving (2020, unknown): “tion solver [46], [101].”
- A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach (2020, methodology): “Authors in [24] combine the APF and model predictive control (MPC) to automatically decide its path and”