Integrated Multi-Camera Calibration Toolbox
Camera calibration is a paramount pre-processing stage of many robotic vision applications such as 3D reconstruction, obstacle avoidance and ego-motion estimation. The goal of this project is to develop a user-friendly, single and multi-camera calibration toolbox adapted to our robotic system.
Hand-Eye Calibration Toolbox
Hand-Eye calibration is a paramount pre-processing stage of many robotic and augmented reality applications. The goal of this project is to develop a user-friendly hand-eye calibration toolbox integrated with our robotic system.
A Visual-Inertial Odometry System for Event-based Vision Sensor
The goal of this project is to develop visual-inertial pipeline for the Dynamic and Active Vision Sensor (DAVIS). The system will estimate the pose of the DAVIS using the event stream and IMU measurements delivered by the sensor.
Building a high-speed camera! Learning Image reconstruction with an Event Camera
The goal of this project is to turn an event camera into a high-speed camera, by designing an algorithm to recover images from the compressed event stream.
Event Camera Characterization
Event cameras such as the Dynamic and Active Pixel Vision Sensor (DAVIS) are recent sensors with large potential for high-speed and high dynamic range robotic applications.
Visual Bundle Adjustment with an Event Camera
The goal of this project is to improve an existing visual odometry pipeline using an event camera by designing and integrating a visual bundle adjustment module in order to reduce the drift in the odometry pipeline.
Optical Flow Estimation with an Event Camera
The goal of this project is to use event cameras to compute the optical flow in the image plane induced by either a moving camera in a scene or by moving objects with respect to a static event camera.