Who Wants to be a Self-Driving Car?
A mixed-reality data trust fall exercise.
“Who Wants to be a Self-Driving Car?” is a data driven trust exercise that uses augmented reality to help people empathize with self-driving vehicle systems. I together with Benedikt Groß (DE, http://benedikt-gross.de/log/), and Raphael Reimann (DE, http://lab.moovel.com/people/raphael-reimann) from the moovel Lab, in collaboration with MESO Digital Interiors (http://meso.net/), 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.
We used this explorative and immersive experience to draw attention to the discussions currently surrounding the future of artificial intelligence and self-driving cars. We wanted to explore what it might be like to build an empathy machine that translates the computational thinking of self-driving cars into a way that people might be able to engage with. The experience is meant to help people enter the discussion about self-driving cars, the layers of technology in them and their implications.
- Project Host moovel Lab (Subsidiary Daimler AG)
- Concept & Idea Joey Lee Benedikt Groß
- Concept & Photo Raphael Reimann
- Video, Direction, & Production David Leonard
- Concept & Technology MESO Digital Interiors: Sebastian Oschatz, Theron Burger, Nikos Mechanezidis, Johannes Lemke, Sebastian Kujas, Timon Skerutsch, Urs Hoffmann, Johannes Busch, Daniel Neumayr, Julius S., Benjamin Schieck, & Alexander Teczar
- Developed With ZED Stereo Camera YOLO library Slamtec RPLidar Oculus Rift VVVV 3D Unity Game Engine Jetson TX2