Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraints
By J. Ji, Amir Khajepour, W. W. Melek, Yanjun Huang. IEEE Transactions on Vehicular Technology, 2017
848 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/2397b465d9969d1956175e003e871b13652abc97
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Computer Vision and Pattern Recognition
Citations in the corpus
- A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach (2020, methodology): “One should note that all the constraints could be transformed to the formulation of ΔU t, details in [27].”
- Review on model predictive control: an engineering perspective (2021, background): “62], or path planning for autonomous driving [48].”