Motion forecasting

Accurately predicting the future motion of road users and objects is crucial for safe and efficient autonomous driving.

Selected publications

  1. Annealed Winner-Takes-All for Motion Forecasting
    Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord
    under review, 2025
    pdf Code
  2. UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
    Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, Alexandre Alahi
    European Conference on Computer Vision, 2024
    pdf Code
  3. Valeo4Cast: A Modular Approach to End-to-End Forecasting
    Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickael Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord
    Winning solution to the "Unified Detection, Tracking and Forecasting" Argoverse 2 challenge @CVPR Worshop on Autonomous Driving (WAD), 2024
    pdf
  4. Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
    Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez
    IEEE International Conference on Robotics and Automation (ICRA), 2024
    pdf Code
  5. Raising context awareness in motion forecasting
    Hédi Ben-Younes*, Éloi Zablocki*, Mickaël Chen, Patrick Pérez, Matthieu Cord
    Computer Vision and Pattern Recognition Workshop, 2022
    pdf Code
  6. Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
    Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
    International Conference on Pattern Recognition, 2022
    pdf Code