In this paper, we propose GOHOME, a method leveraging graph representations of the High
Definition Map and sparse projections to generate a heatmap output representing the future …

We present and evaluate a person re-identification scheme for multi-camera surveillance
system. Our approach uses matching of signatures based on interest-points descriptors …

In this paper, we propose HOME, a framework tackling the motion forecasting problem with
an image output representing the probability distribution of the agent's future location. This …

In this paper, we propose THOMAS, a joint multi-agent trajectory prediction framework
allowing for an efficient and consistent prediction of multi-agent multi-modal trajectories. We …

Reinforcement Learning (RL) aims at learning an optimal behavior policy from its own
experiments and not rule-based control methods. However, there is no RL algorithm yet capable …

In this paper, we introduce a new 3D hand gesture recognition approach based on a deep
learning model. We propose a new Convolutional Neural Network (CNN) where sequences …

Recently, researchers have proposed various intersection management techniques that
enable autonomous vehicles to cross the intersection without traffic lights or stop signs. In …

In this paper, we present robust visual speed limit signs detection and recognition systems
for American and European signs. Both are variants of the same modular traffic signs …

We consider the problem of coordinating a set of automated vehicles at an intersection with
no traffic light. The priority-based coordination framework is adopted to separate the problem …

This paper presents a real-time motion planning scheme for urban autonomous driving that
will be deployed as a basis for cooperative maneuvers defined in the European project …