This workshop is dedicated to event-based vision sensors and algorithms. Event-based cameras are revolutionary vision sensors with three key advantages: a measurement rate that is almost 1 million times faster than standard cameras, a latency of microseconds, and a high dynamic range that is six orders of magnitude larger than that of standard cameras. Event-based sensors open frontiers which are unthinkable with standard cameras (which have been the main sensing technology of the past 50 years). These revolutionary sensors enable the design of a new class of algorithms to track a baseball in the moonlight, build a flying robot with the same agility of a fly, localizing and mapping in challenging lighting conditions and at remarkable speeds. These sensors became commercially available in 2008 and are slowly being adopted in mobile robotics. They covered the main news in 2016 with Intel and Bosch announcing a $15 million investment in event-camera company Chronocam and Samsung announcing its use with the IBM's brain-inspired TrueNorth processor to recognize human gestures. This workshop will cover the sensing hardware as well as the processing, learning, and control methods needed to take advantage of these sensors.
Call for Live Demos!
We encourage the submission of Live Demos (max 1 A4 page) to be emailed to the organizers. Deadline: May 1st, 2017.
Speakers from Academia:
- Andrew Davison, Imperial College London, Reconstruction, Motion Estimation and SLAM from Events
- Kostas Daniilidis, University of Pennsylvania, Feature Extraction and Visual-Inertial Odometry from Events
- Tobi Delbruck, ETH Zurich / University of Zurich, lead inventor of the DVS/DAVIS sensors, The development of the DVS and DAVIS sensors
- Garrick Orchard , National University of Singapore, Embedded Event-based Visual Processing for Mobile Platforms
- Jörg Conradt, Technical University of Munich, Miniaturized, Embedded Event Vision for High-speed Robots
- Chiara Bartolozzi, Istituto Italiano di Tecnologia, Event-driven Humanoid Robot
- Davide Scaramuzza, University of Zurich, Event-based Algorithms for Robust and High-speed Robotics
Speakers from Industry:
- Yoel Yaffe, Samsung Israel Research Center, Samsung Electronics, Development of the Dynamic Vision Sensor and Status of Related Applications at SAMSUNG
- Brian Taba, Arnon Amir, IBM Research, Object and Action Recognition on the Event-Based IBM TrueNorth Processor
- Christoph Posch, founder of Chronocam and lead inventor of the ATIS sensor, The ATIS Sensor
- Christian Brandli, CEO and founder of Insightness, From Event-Based Visions to Real Systems
- Hanme Kim, co-founder of Slamcore, Developments and Applications at Slamcore
- Sven-Erik Jacobsen, founder of IniVation, Developments and Applications at IniVation
- What is an event camera? Watch this video explanation! More info here.
- What are possible applications of event cameras? A non-comprehensive list can be found here and here.
- Where can I buy an event camera? From IniLabs.
- Is there a event-camera dataset I can play with, so that I don't have to buy the sensor? Yes, here.
- Davide Scaramuzza - University of Zurich
- Guillermo Gallego - University of Zurich
- Andrea Censi - MIT / ETH Zurich / nuTonomy
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