30 citations · 127 across the 33 of their papers we have counts for
3 papers · 1 filter
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals
Ning Ding, Ce Zhang, Azim Eskandarian
A lack of driver's vigilance is the main cause of most vehicle crashes. Electroencephalography(EEG) has been reliable and efficient tool for drivers' drowsiness estimation. Even th…
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation
Anshul Nayak, Azim Eskandarian, Zachary Doerzaph
Past research on pedestrian trajectory forecasting mainly focused on deterministic predictions which provide only point estimates of future states. These future estimates can help…
Attention-based Neural Network for Driving Environment Complexity Perception
Ce Zhang, Azim Eskandarian, Xuelai Du
Environment perception is crucial for autonomous vehicle (AV) safety. Most existing AV perception algorithms have not studied the surrounding environment complexity and failed to i…