Abstract
Autonomous vehicles face significant challenges in low-adhesion conditions such as snow and ice. We are developing smart vehicle controllers that adapt their behaviors dynamically according to road conditions.
Publications & Resources
📄 Journal (MDPI Electronics): W. Therrien, O. Lecompte, and A. Girard, "Using the Buckingham π Theorem for Multi-System Transfer Learning: A Case-Study with 3 Vehicles Sharing a Database," Electronics, vol. 13, no. 11, p. 2041, 2024.
📄 arXiv preprint: W. Therrien, O. Lecompte, and A. Girard, "Using Buckingham's π Theorem for Multi-System Learning Transfer: a Case-study with 3 Vehicles Sharing a Database," 2024.
📄 Journal (IEEE T-IV): O. Lecompte, W. Therrien and A. Girard, "Experimental investigation of a maneuver selection algorithm for vehicles in low adhesion conditions," IEEE Transactions on Intelligent Vehicles, vol. 7, no. 3, pp. 407–412, 2022.
📄 arXiv preprint: O. Lecompte, W. Therrien and A. Girard, "Experimental investigation of a maneuver selection algorithm for vehicles in low adhesion conditions," 2024.
Project Media
