1 code implementation • 21 Feb 2023 • Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas
Real-time, accurate prediction of human steering behaviors has wide applications, from developing intelligent traffic systems to deploying autonomous driving systems in both real and simulated worlds.
1 code implementation • 15 Mar 2022 • Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas
Predicting pedestrian movement is critical for human behavior analysis and also for safe and efficient human-agent interactions.
no code implementations • 17 Sep 2021 • Javad Amirian, Jean-Bernard Hayet, Julien Pettre
We address the problem of inferring the human occupancy in the space around the robot, in blind spots, beyond the range of its sensing capabilities.
2 code implementations • 2 Oct 2020 • Javad Amirian, Bingqing Zhang, Francisco Valente Castro, Juan Jose Baldelomar, Jean-Bernard Hayet, Julien Pettre
Human Trajectory Prediction (HTP) has gained much momentum in the last years and many solutions have been proposed to solve it.
1 code implementation • 23 May 2019 • Javad Amirian, Wouter van Toll, Jean-Bernard Hayet, Julien Pettré
This paper presents a novel data-driven crowd simulation method that can mimic the observed traffic of pedestrians in a given environment.
1 code implementation • CVPR 2019 • Javad Amirian, Jean-Bernard Hayet, Julien Pettre
We show through experiments on real and synthetic data that the proposed method leads to generate more diverse samples and to preserve the modes of the predictive distribution.
Ranked #1 on Trajectory Prediction on Stanford Drone (FDE (in world coordinates) metric)
no code implementations • 7 Nov 2017 • Edgar Sucar, Jean-Bernard Hayet
This work proposes a new, online algorithm for estimating the local scale correction to apply to the output of a monocular SLAM system and obtain an as faithful as possible metric reconstruction of the 3D map and of the camera trajectory.
Robotics
no code implementations • 27 May 2017 • Edgar Sucar, Jean-Bernard Hayet
This paper proposes a novel method to estimate the global scale of a 3D reconstructed model within a Kalman filtering-based monocular SLAM algorithm.