Fun with Asynchronous Vision Sensors and Processing
Conference paper
Abstract
This paper provides a personal perspective on our group’s efforts in building event-based vision sensors, algorithms, and applications over the period 2002-2012. Some recent advances from other groups are also briefly described.
Keywords
Vision Sensor Voltage Gain CMOS Image Sensor Active Pixel Sensor Capacitive Divider
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Preview
Unable to display preview. Download preview PDF.
References
- 1.Mahowald, M.A.: An Analog VLSI System for Stereoscopic Vision. Kluwer, Boston (1994)CrossRefGoogle Scholar
- 2.Lichtsteiner, P., Posch, C., Delbruck, T.: A 128×128 120 dB 15 μs latency asynchronous temporal contrast vision sensor. IEEE Journal of Solid-State Circuits 43(2), 566–576 (2008)CrossRefGoogle Scholar
- 3.Dynamic Vision Sensor (DVS) - asynchronous temporal contrast silicon retina (2012), http://siliconretina.ini.uzh.ch
- 4.Conradt, J., Berner, R., Cook, M., Delbruck, T.: An Embedded AER Dynamic Vision Sensor for Low-Latency Pole Balancing. In: 5th IEEE Workshop on Embedded Computer Vision (in conjunction with ICCV 2009), Kyoto, Japan, pp. 1–6. IEEE (2009)Google Scholar
- 5.Delbruck, T.: Frame-free dynamic digital vision. In: Proceedings of Intl. Symp. on Secure-Life Electronics, Advanced Electronics for Quality Life and Society, Tokyo, University of Tokyo, pp. 21–26 (2008)Google Scholar
- 6.Delbruck, T., Lichtsteiner, P.: Fast sensory motor control based on event-based hybrid neuromorphic-procedural system. In: ISCAS 2007, New Orleans, pp. 845–848 (2007)Google Scholar
- 7.Berner, R., Delbruck, T.: Event-Based Pixel Sensitive to Changes of Color and Brightness. IEEE Transactions on Circuits and Systems I: Regular Papers 58(7), 1581–1590 (2011)MathSciNetCrossRefGoogle Scholar
- 8.Delbruck, T., Linares-Barranco, B., Culurciello, E., Posch, C.: Activity-Driven, Event-Based Vision Sensors. In: IEEE International Symposium on Circuits and Systems, Paris, pp. 2426–2429 (2010)Google Scholar
- 9.Liu, S.C., Delbruck, T.: Neuromorphic sensory systems. Current Opinion in Neurobiology 20(3), 288–295 (2010)CrossRefGoogle Scholar
- 10.Liu, S.C., van Schaik, A., Minch, B.A., Delbruck, T.: Event-based 64-channel binaural silicon cochlea with Q enhancement mechanisms. In: IEEE ISCAS 2009, pp. 2426–2429 (2010)Google Scholar
- 11.jAER open source project: Real time sensory-motor processing for event-based sensors and systems, (2007), http://jaer.wiki.sourceforge.net
- 12.Seebetter project (2011), http://www.seebetter.eu
- 13.Serrano-Gotarredona, R., Oster, M., et al.: CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking. IEEE Trans. on Neural Networks 20(9), 1417–1438 (2009)CrossRefGoogle Scholar
- 14.Abshire, P., et al.: Confession session: Learning from others mistakes. In: ISCAS 2011, Rio de Janeiro, pp. 1149–1162 (2011)Google Scholar
- 15.Rogister, P., Benosman, R., Ieng, S.-H., Lichtsteiner, P., Delbruck, T.: Asynchronous Event-Based Binocular Stereo Matching. IEEE Transactions on Neural Networks and Learning Systems 23(2), 347–353 (2012)CrossRefGoogle Scholar
- 16.Benosman, R., Sio, H., Ieng, X., Rogister, P., Posch, C.: Asynchronous Event-Based Hebbian Epipolar Geometry. IEEE Transactions on Neural Networks 22(11), 1723–1734 (2011)CrossRefGoogle Scholar
- 17.Matolin, D., Posch, C., Wohlgenannt, R.: True correlated double sampling and comparator design for time-based image sensors. In: ISCAS 2009 (2009)Google Scholar
- 18.Posch, C., Matolin, D., Wohlgenannt, R.: A QVGA 143dB dynamic range asynchronous address-event PWM dynamic image sensor with lossless pixel-level video compression. In: 2010 IEEE Solid-State Circuits Conference Digest of Technical Papers, ISSCC (2010)Google Scholar
- 19.Camunas-Mesa, L., Zamarreno-Ramos, C., Linares-Barranco, A., Acosta-Jimenez, A.J., Serrano-Gotarredona, T., Linares-Barranco, B.: An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors. IEEE Journal of Solid-State Circuits 47(2), 504–517 (2012)CrossRefGoogle Scholar
- 20.Landolt, O., Mitros, A., Koch, C.: Visual sensor with resolution enhancement by mechanical vibrations. In: Advanced Research in VLSI, 2001. Proceedings of ARVLSI 2001, pp. 249–264 (2001)Google Scholar
- 21.Drazen, D., Lichtsteiner, P., Hafliger, P., Delbruck, T., Jensen, A.: Toward real-time particle tracking using an event-based dynamic vision sensor. Experiments in Fluids 51(5), 1465–1469 (2011)CrossRefGoogle Scholar
- 22.Lee, J., Delbruck, T., Park, P.K.J., Pfeiffer, M., Shin, C.W., Ryu, H., Kang, B.C.: Live demonstration: Gesture-Based remote control using stereo pair of dynamic vision sensors. In: ISCAS 2012, Seoul (in press, 2012)Google Scholar
- 23.Yang, M., Liu, S.C., Li, C., Delbruck, T.: Addressable Current Reference Array with 170dB Dynamic Range. In: ISCAS 2012, Seoul (in press, 2012)Google Scholar
- 24.Boahen, K.A.: A burst-mode word-serial address-event link-I transmitter design. IEEE Transactions on Circuits and Systems I-Regular Papers 51(7), 1269–1280 (2004)CrossRefGoogle Scholar
- 25.Jimenez-Fernandez, A., Fuentes-del-Bosh, J.L., Paz-Vicente, R., Linares-Barranco, A., Jiménez, G.: Live demonstration: Neuro-inspired system for realtime vision tilt correction. In: ISCAS 2010, pp. 1393–1397 (2010)Google Scholar
- 26.Lenero-Bardallo, J.A., Serrano-Gotarredona, T., Linares-Barranco, B.: A 3.6 us Latency Asynchronous Frame-Free Event-Driven Dynamic-Vision-Sensor. IEEE Journal of Solid-State Circuits 46(6), 1443–1455 (2011)CrossRefGoogle Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 2012