ADR Awareness Centre

This lecture overviews 3D Object Localization that has many applications in robotics and autonomous systems.

This lecture overviews Neural SLAM   that has many applications in robotic and autonomous vehicle localization and mapping.

The lecture includes the essential knowledge about how we obtain/get 2D and/or 3D maps that robots/drones need, taking measurements that allow them to perceive their environment with appropriate sensors.

A detailed introduction to computer vision will be made: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D worl

A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.

In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations.