News and Announcements

  • 9/12 - 2D and 3D detection benchmarks open for submission! Submit here.
  • 9/4 - 2D and 3D tracking benchmarks open for submission! Submit here.
  • 8/22 - Dataset released! Download train and test splits.
  • Key Dataset Features and Novelties

  • Crowded sequences: Some sequences include up to 260 annotated persons
  • Novel environments: The dataset includes both indoor and outdoor environments. This is the first large dataset with annotated indoor scenes. In outdoor scenes our dataset is acquired from a pedestrian perspective (e.g. from curbs) instead of from a vehicle perspective.
  • Novel perspective: The data is acquired from a robot platform of human-comparable size and therefore it is similar to the egocentric view of a person. This creates scenarios with multiple occlusions and poses a significant challenge for detection, tracking and other perception tasks.
  • Stationary and dynamic sensor perspectives: The sequences present a combination of sensor signals acquired from stationary and moving robot perspectives.
  • Multi-modal sensor streams: Appart from multiple RGB and Lidar signals our dataset included RGBD images, GPS signals, IMU measurements, odometry values, and audio recordings.
  • Organizers

    Hamid Rezatofighi

    Hamid Rezatofighi

    Roberto Martín-Martín

    Roberto Martín-Martín

    Ian Reid

    Ian Reid

    Silvio Savarese

    Silvio Savarese

    Team

    Nathan Dass

    Nathan Dass

    Alan Federman

    Alan Federman

    Patrick Goebel

    Patrick Goebel

    JunYoung Gwak

    JunYoung Gwak

    Darren Mei

    Darren Mei

    Mihir Patel

    Mihir Patel

    Amir Sadeghian

    Amir Sadeghian

    Peter Schleede

    Peter Schleede

    Abhijeet Shenoi

    Abhijeet Shenoi