Flatten the Curve: Social Distancing in the Wild
In the time of a pandemic, it is important to keep a minimum distance from others to prevent the spread of disease. However, it is not easy to measure this distance in real life. To help this issue, we aim to build a visual assistant to track the own distance from others on the street. Assuming there is a user with a monocular mobile phone camera, webcam, or video we detect humans, estimate their depths from RGB image and build a warning mechanism. This project was built within Perception and Learning in Robotics and Augmented Reality praktikum offered at the Technical University of Munich (TUM) in summer semester 2020. 