A unified approach to local trajectory planning and control for autonomous driving along a reference path
By Xiaohui Li, Zhenping Sun, Qi Zhu, Daxue Liu. 2014
42 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering
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
- Dominique Gruyer
- Sebastien Glaser
- Marc Revilloud
- Laurene Claussmann
- Mohammed A. Quddus
- Francesco Borrelli
In Computer Vision and Pattern Recognition
In Control and Systems Engineering
Citations in the corpus
- A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning (2017, neutral): “, RRT, RRT*, see [5], [6]), iii) interpolatingcurve-based [7], [8], and iv) optimization-based [9], [10].”
- Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions (2015, methodology): “A MPC trajectory approach was also presented by Li et al. (2014) using a reference path and a vehicle model, describing its position coordinates, its heading and the curvature of the path it is on.”
- A Review of Motion Planning for Highway Autonomous Driving (2020, background): “ear integration, as explained in [33] with a Boundary Value”