2 papers
cs.CV2025
Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model
Daehee Park, Monu Surana, Pranav Desai +3
While data-driven trajectory prediction has enhanced the reliability of autonomous driving systems, it still struggles with rarely observed long-tail scenarios. Prior works address…
cs.LG2018
Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision
Ashish Mehta, Adithya Subramanian, Anbumani Subramanian
Learning to drive faithfully in highly stochastic urban settings remains an open problem. To that end, we propose a Multi-task Learning from Demonstration (MT-LfD) framework which…