8 citations · 9 across the 4 of their papers we have counts for
5 papers
Analysis over vision-based models for pedestrian action anticipation
Lina Achaji, Julien Moreau, François Aioun +1
Anticipating human actions in front of autonomous vehicles is a challenging task. Several papers have recently proposed model architectures to address this problem by combining mul…
PreTR: Spatio-Temporal Non-Autoregressive Trajectory Prediction Transformer
Lina Achaji, Thierno Barry, Thibault Fouqueray +3
Nowadays, our mobility systems are evolving into the era of intelligent vehicles that aim to improve road safety. Due to their vulnerability, pedestrians are the users who will ben…
Is attention to bounding boxes all you need for pedestrian action prediction?
Lina Achaji, Julien Moreau, Thibault Fouqueray +2
The human driver is no longer the only one concerned with the complexity of the driving scenarios. Autonomous vehicles (AV) are similarly becoming involved in the process. Nowadays…
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving
Donghao Xu, Zhezhang Ding, Xu He +4
Driving in a human-like manner is important for an autonomous vehicle to be a smart and predictable traffic participant. To achieve this goal, parameters of the motion planning mod…
Driver Identification through Stochastic Multi-State Car-Following Modeling
Donghao Xu, Zhezhang Ding, Chenfeng Tu +4
Intra-driver and inter-driver heterogeneity has been confirmed to exist in human driving behaviors by many studies. In this study, a joint model of the two types of heterogeneity i…