Event-based Sensing for Space Situational Awareness

Belbachir, A.N., Litzenberger, M., Schraml, S., Hofstatter, M., Bauer, D., Schon, P., Humenberger, M., Sulzbachner, C., Lunden, T., Merne, M.: CARE: a dynamic stereo vision sensor system for fall detection. In: 2012 IEEE International Symposium on Circuits and Systems, pp. 7310–734. IEEE, Seoul (2012). https://doi.org/10.1109/ISCAS.2012.6272141

Boahen, K.: Point-to-point connectivity between neuromorphic chips using address events. IEEE Trans. Circ. Syst. II Analog Digit. Signal Process. 47(5), 416–434 (2000). https://doi.org/10.1109/82.842110

Brandli, C., Berner, R., Yang, M., Liu, S.-C., Delbruck, T.: A 240 x 180 130 dB 3 us latency global shutter spatiotemporal vision sensor. IEEE J. Solid State Circ. 49(10), 2333–2341 (2014). https://doi.org/10.1109/JSSC.2014.2342715

Cohen, G.K., Orchard, G., Leng, S.H., Tapson, J., Benosman, R.B., van Schaik, A.: Skimming digits: Neuromorphic classification of spike-encoded images. Front. Neurosci. 10(184), 1–11 (2016). https://doi.org/10.3389/fnins.2016.00184

Delbrück, T., Lang, M.: Robotic goalie with 3 ms reaction time at 4% CPU load using event-based dynamic vision sensor. Front. Neurosci. 7(7 NOV), 1–7 (2013). https://doi.org/10.3389/fnins.2013.00223

Delbrück, T., Linares-Barranco, B., Culurciello, E., Posch, C.: Activity-driven, event-based vision sensors. In: Proceedings of 2010 IEEE International Symposium on Circuits and Systems, IEEE, pp. 2426–2429 (2010). https://doi.org/10.1109/ISCAS.2010.5537149

Fukushima, K., Yamaguchi, Y., Yasuda, M., Nagata, S.: An electronic model of the retina. Proc. IEEE 58(12), 1950–1952 (1970). https://doi.org/10.1109/PROC.1970.8066

Indiveri, G., Horiuchi, T.K.: Frontiers in neuromorphic engineering. https://doi.org/10.3389/fnins.2011.00118 (2011)

Kueng, B., Mueggler, E., Gallego, G., Scaramuzza, D.: Low-Latency Visual Odometry Using Event-Based Feature Tracks. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, pp. 16–23 (2016), https://doi.org/10.1109/IROS.2016.7758089

Lagorce, X., Meyer, C., Ieng, S.H., Filliat, D., Benosman, R.: Asynchronous event-based multikernel algorithm for high-speed visual features tracking. IEEE Trans. Neural Netw. Learn. Syst. 26(8), 1–12 (2014). https://doi.org/10.1109/TNNLS.2014.2352401

Land, M.F., Fernald, R.D.: The evolution of eyes. Ann. Rev. Neurosci. 15 (1990), 1–29 (1992). https://doi.org/10.1146/annurev.ne.15.030192.000245

Lichtsteiner, P., Posch, C., Delbrück, T.: A 128 X 128 120db 30mw asynchronous vision sensor that responds to relative intensity change. In: 2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers, pp. 2004–2006 (2006). https://doi.org/10.1109/ISSCC.2006.1696265

Lichtsteiner, P., Posch, C., Delbrück, T.: A 128 x 128 120 dB 15 us latency asynchronous temporal contrast vision sensor. IEEE J. Solid State Circ. 43(2), 566–576 (2008). https://doi.org/10.1109/JSSC.2007.914337

Mahowald, M.: An analog VLSI system for stereoscopic vision. Kluwer Int. series in engineering and computer science. Kluwer Academic Publishers, Norwell (1994)

Mueggler, E., Huber, B., Scaramuzza, D.: Event-based, 6-DOF pose tracking for high-speed maneuvers. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2761–2768. IEEE. https://doi.org/10.1109/IROS.2014.6942940 (2014)

Ni, Z., Pacoret, C., Benosman, R., Ieng, S.H., Régnier, S: Asynchronous event based high speed vision for micro-particles tracking. J. Microsc. 245(3), 236–244 (2011)

Ni, Z., Bolopion, A., Agnus, J., Benosman, R., Régnier, S.: Asynchronous event-based visual shape tracking for stable haptic feedback in Microrobotics. IEEE Trans. Robot. (T-RO) 28(5), 1081–1089 (2012)

Posch, C., Matolin, D., Wohlgenannt, R.: A QVGA 143 dB dynamic range frame-free PWM image sensor with lossless pixel-level video compression and time-domain CDS. IEEE J. Solid State Circ. 46(1), 259–275 (2011). https://doi.org/10.1109/JSSC.2010.2085952