Who Wants to be a Self-Driving Car? – Empathising with self-driving vehicle systems

Created by Joey Lee (US), Benedikt Groß (DE), and Raphael Reimann (DE) from the moovel Lab, in collaboration with MESO Digital Interiors (DE), Who Wants to be a Self-Driving Car? is a data driven trust exercise that uses augmented reality to help people empathise with self-driving vehicle systems. The team built an unconventional driving machine that lets people use real-time, three-dimensional mapping and object recognition displayed in a virtual reality headset to navigate through space.

11/10/2017

Created by Felix Ros, ‘Scribble’ is a haptic interface designed for autonomous cars that lets the driver draw their way through traffic. They draw a path and the car will follow, not letting them drive but pilot the car, helping the car when in need. Scribble is powered by an Arduino DUE that is controlled over a serial connection by a GUI made in openFrameworks.

Created by Matthieu Cherubini, Ethical Autonomous Vehicles project explores the implications of near-future scenario where most vehicles on the road are autonomous.

Created by Joey Lee (US), Benedikt Groß (DE), and Raphael Reimann (DE) from the moovel Lab, in collaboration with MESO Digital Interiors (DE), Who Wants to be a Self-Driving Car? is a data driven trust exercise that uses augmented reality to help people empathise with self-driving vehicle systems. The team built an unconventional driving machine that lets people use real-time, three-dimensional mapping and object recognition displayed in a virtual reality headset to navigate through space.