/Raphael Reimann (3)


OpenDataCam is a open source tool to quantify the world. It consists of a camera attached to a mini computer that is running an object detection algorithm that counts and tracks moving objects.
30/08/2019As 2017 comes to a close, we take a moment to look back at the outstanding work done this year. From spectacular peformances, large scale installations, devices and tools to the new virtual spaces for artistic exploration – so many great projects are being added to the CAN archive! Here are a just few, 25 in total, that we and you enjoyed the most this year.
22/12/2017Created 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.
11/10/2017OpenDataCam is a open source tool to quantify the world. It consists of a camera attached to a mini computer that is running an object detection algorithm that counts and tracks moving objects.
Tags: Benedikt Groß / computer vision / cv / Florian Porada / gpu / Markus Kreutzer / Neele Rittmeister / open source / quantify / Raphael Reimann / Thibault Durand / yolo
As 2017 comes to a close, we take a moment to look back at the outstanding work done this year. From spectacular peformances, large scale installations, devices and tools to the new virtual spaces for artistic exploration – so many great projects are being added to the CAN archive! Here are a just few, 25 in total, that we and you enjoyed the most this year.
Tags: ai / Andrej Boleslavský / AR / artificiel / automato / autonomous / Benedikt Groß / Bjørn Karmann / creativeappsnet / cryptocurrency / Damian KulashJr / dance / David Colombini / David OReilly / Denial of Service / device / Dimitri Gelfand / Dries Depoorter / Evelina Domnitch / Games / glitch / Google Data Arts Team / installation / James Paterson / Jeremy Rotsztain / Joey Lee / Johannes Lohbihler / Jonas Eltes / Julian Oliver / Kimchi and Chips / laser / light / Mária Júdová / Moniker / MR / music / music video / NEOANALOG / neural network / onformative / performance / Push 1 stop / Raphael Reimann / Refik Anadol Studio / rhizomatiks / Ryoichi Kurokawa / Ryoji Ikeda / Sound / studio puckey / Ted Davis / tools / vehicles / vr / Woulg / Yusuke Tanaka
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.
Tags: 3d mapping / augmented reality / Benedikt Groß / depth camera / driving / featured / Joey Lee / lidar / machine / MESO / MESO Digital Interiors / moovel Lab / nvidia jetson / oculus rift / osc / Raphael Reimann / self-driving car / unity / Unity3D / vehicle / vr / vvvv / yolo / zed stereo camera
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