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Event-based Vision Resources

Table of Contents:



Devices & Companies Manufacturing them

Companies working on Event-based Vision

  • iniLabs invents, produces and sells neuromorphic technologies for research.
  • Samsung develops Gen2 and Gen3 dynamic vision sensors and event-based vision solutions.
  • Chronocam develops bio-inspired and self-adapting approach to the need for visual sensing and processing in autonomous vehicles, connected devices, security and surveillance systems.
  • Insightness AG builds visual systems to give mobile devices spatial awareness. The Silicon Eye Technology.
  • SLAMcore develops Localisation and mapping solutions for AR/VR, robotics & autonomous vehicles.
  • iniVation invents, produces and sells neuromorphic technologies with a special focus on event-based vision into business.
  • Hillhouse Technology offer integrated sensory platforms that incorporate various components and technologies, including a processing chipset and an image sensor (a dynamic vision sensor called CeleX).



Neuromorphic Systems



Algorithms

Feature Detection and Tracking

Depth Estimation (3D Reconstruction)

Monocular Depth Estimation

Monocular Depth Estimation using Structured Light

Stereo Depth Estimation

Optical Flow Estimation

Intensity-Image Reconstruction from events

Localization and Ego-Motion Estimation

Visual Odometry and SLAM (Simultaneous Localization And Mapping)

Visual-Inertial State Estimation

  • Mueggler, E., Gallego, G., Rebecq, H., Scaramuzza, D.,
    Continuous-Time Visual-Inertial Trajectory Estimation with Event Cameras,
    (Under review), 2017.
  • Mueggler et. al. IJRR 2017.
    The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM.
  • Zhu, A., Atanasov, N., Daniilidis, K.,
    Event-based Visual Inertial Odometry,
    IEEE Conf. Computer Vision and Pattern Recognition (CVPR) 2017. PDF, Supplementary material
  • Rebecq, H., Horstschaefer, T., Scaramuzza, D.,
    Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization,
    British Machine Vision Conf. (BMVC), London, 2017. PDF, Appendix, YouTube
  • Rosinol Vidal, A., Rebecq, H., Horstschaefer, T., Scaramuzza, D.,
    Hybrid, Frame and Event based Visual Inertial Odometry for Robust, Autonomous Navigation of Quadrotors,
    Under Review, 2017. PDF, YouTube

Visual Stabilization

Video Processing

Pattern Recognition

Control



Datasets and Simulators (sorted by topic)

Optical Flow

Visual Odometry and SLAM

Recognition



Software

Drivers

Calibration

Algorithms

Utilities



Neuromorphic Processors and Platforms



Workshops and Tutorials



Theses and Dissertations



People / Organizations



Contributing

Please see CONTRIBUTING for details.


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