no code implementations • 31 Dec 2020 • Erfan Pakdamanian, Shili Sheng, Sonia Baee, Seongkook Heo, Sarit Kraus, Lu Feng
Nevertheless, automated vehicles may still need to occasionally hand the control back to drivers due to technology limitations and legal requirements.
2 code implementations • ICCV 2021 • Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura Barnes
Inspired by human visual attention, we propose a novel inverse reinforcement learning formulation using Maximum Entropy Deep Inverse Reinforcement Learning (MEDIRL) for predicting the visual attention of drivers in accident-prone situations.