Driving in TORCS Using Modular Fuzzy Controllers
By M. Salem, A. García, J. J. M. Guervós, P. García-Sánchez. 2017
12 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Swarat Chaudhuri
- Rishabh Singh
- Pushmeet Kohli
- Alexander Liniger
- Abhinav Verma
- Vijayaraghavan Murali
- Josh Tenenbaum
- Percy Liang
In Automotive Engineering
In Computer Vision and Pattern Recognition
- Swarat Chaudhuri
- Rishabh Singh
- Pushmeet Kohli
- Vijayaraghavan Murali
- Alexander Liniger
- Luc Van Gool
- Josh Tenenbaum
- Jitendra Malik
Citations in the corpus
- Programmatically Interpretable Reinforcement Learning (2018, methodology): “T ORCS has been used extensively in AI research, for example in (Salem et al., 2017), (Koutn´ık et al., 2013), and (Loiacono et al., 2010) among others.”
- Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing (2022, background): “In both [161], [163] the authors propose two fuzzy controllers for calculating the steering angle and computing the target speed of the car based on sensor information in the TORCS simulator [237].”