Chinese Journal of Liquid Crystals and Displays, Volume. 36, Issue 12, 1664(2021)
Development status and trend of event-based vision sensor
[2] [2] POSCH C, SERRANO-GOTARREDONA T, LINARES-BARRANCO B, et al. Retinomorphic event-based vision sensors: bioinspired cameras with spiking output [J]. Proceedings of the IEEE, 2014, 102(10): 1470-1484.
[3] [3] CRISTBAL G, PERRINET L, KEIL M S. Biologically Inspired Computer Vision [M]. Berlin: Wiley-VCH, 2015.
[4] [4] LICHTSTEINER P, DELBRUCK T. A 64×64 AER logarithmic temporal derivative silicon retina [C]//Research in Microelectronics and Electronics, 2005 PhD. Lausanne: IEEE, 2005: 202-205.
[5] [5] MEAD C. Analog VLSI and Neural Systems [M]. Reading, Mass.: Addison-Wesley, 1989.
[6] [6] MEAD C. Neuromorphic electronic systems [J]. Proceedings of the IEEE, 1990, 78(10): 1629-1636.
[7] [7] MAHER M A C, DEWEERTH S P, MAHOWALD M A, et al. Implementing neural architectures using analog VLSI circuits [J]. IEEE Transactions on Circuits and Systems, 1989, 36(5): 643-652.
[8] [8] POSCH C. Bio-inspired vision [J]. Journal of Instrumentation, 2012, 7: C01054.
[9] [9] BOAHEN K A. Communicating neuronal ensembles between neuromorphic chips [M]//LANDE T S. Neuromorphic Systems Engineering. Boston: Springer, 1998: 229-259.
[10] [10] BOAHEN K A. Point-to-point connectivity between neuromorphic chips using address events [J]. IEEE Transactions on Circuits and Systems Ⅱ: Analog and Digital Signal Processing, 2000, 47(5): 416-434.
[11] [11] LICHTSTEINER P, POSCH C, DELBRUCK T. A 128 × 128 120 dB 30 mW asynchronous vision sensor that responds to relative intensity change [C]//2006 IEEE International Solid State Circuits Conference -Digest of Technical Papers. San Francisco: IEEE, 2006: 2060-2069.
[12] [12] LICHTSTEINER P, POSCH C, DELBRUCK T. A 128 × 128 120 dB 15 μs latency asynchronous temporal contrast vision sensor [J]. IEEE Journal of Solid-State Circuits, 2008, 43(2): 566-576.
[13] [13] POSCH C, WOHLGENANNT R, MATOLIN D, et al. A temporal contrast IR vision sensor [C]//Proceedings of SPIE 7100 Optical Design and Engineering Ⅲ. Glasgow: SPIE, 2008: 71002A.
[14] [14] 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 [J]. IEEE Journal of Solid-State Circuits, 2011, 46(1): 259-275.
[15] [15] BERNER R, BRANDLI C, YANG M H, et al. A 240×180 10 mW 12 μs latency sparse-output vision sensor for mobile applications [C]//2013 Symposium on VLSI Circuits. Kyoto: IEEE, 2013: C186-C187.
[16] [16] BRANDLI C, BERNER R, YANG M H, et al. A 240 × 180 130 dB 3 s latency global shutter spatiotemporal vision sensor [J]. IEEE Journal of Solid-State Circuits, 2014, 49(10): 2333-2341.
[17] [17] CHO D D, LEE T J. A review of bioinspired vision sensors and their applications [J]. Sensors and Materials, 2015, 27(6): 447-463.
[22] [22] RAMESH B, ZHANG S H, LEE Z W, et al. Long-term object tracking with a moving event camera [C]//BMVC. Newcastle, 2018: 241.
[23] [23] TEDALDI D, GALLEGO G, MUEGGLER E, et al. Feature detection and tracking with the dynamic and active-pixel vision sensor (DAVIS) [C]//2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). Krakow: IEEE, 2016: 1-7.
[24] [24] MITROKHIN A, FERMLLER C, PARAMESHWARA C, et al. Event-based moving object detection and tracking [C]//2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Madrid: IEEE, 2018: 1-9.
[25] [25] BOETTIGER J P. A comparative evaluation of the detection and tracking capability between novel event-based and conventional frame-based sensors [D]. Ohio: The Air Force Air University, 2020.
[26] [26] WANG Y H, IDOUGHI R, HEIDRICH W. Stereo event-based particle tracking velocimetry for 3D fluid flow reconstruction [C]//Proceedings of 16th European Conference on Computer Vision. Glasgow: Springer, 2020: 36-53.
[27] [27] DAMIEN J, HUBERT K, FREDERIC C. Convolutional neural network for detection and classification with event-based data [C]//Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Prague: VISAPP, 2019: 200-208.
[28] [28] MESSIKOMMER N, GEHRIG D, LOQUERCIO A, et al. Event-based asynchronous sparse convolutional networks [C]//Proceedings of 16th European Conference on Computer Vision. Glasgow: Springer, 2020: 415-431.
[29] [29] PEROT E, DE TOURNEMIRE P, NITTI D, et al. Learning to detect objects with a 1 Megapixel event camera [J]. arXiv preprint arXiv: 2009.13436, 2020.
[30] [30] WANG Q Y, ZHANG Y X, YUAN J S, et al. Space-time event clouds for gesture recognition: from RGB cameras to event cameras [C]//2019 IEEE Winter Conference on Applications of Computer Vision (WACV). Waikoloa: IEEE, 2019: 1826-1835.
[31] [31] MONFORTE M, ARRIANDIAGA A, GLOVER A, et al. Exploiting event cameras for spatio-temporal prediction of fast-changing trajectories [C]//2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). Genova: IEEE, 2020: 108-112.
[32] [32] ZHU A Z, ATANASOV N, DANIILIDIS K. Event-based visual inertial odometry [C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE, 2017: 5816-5824.
[33] [33] CENSI A, STRUBEL J, BRANDLI C, et al. Low-latency localization by active LED markers tracking using a dynamic vision sensor [C]//2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. Tokyo: IEEE, 2013: 891-898.
[34] [34] HUANG J. Asynchronous high-speed feature extraction image sensor [D]. Singapore: Nanyang Technological University, 2018.
Get Citation
Copy Citation Text
FANG Ying-hong, XU Wei, PIAO Yong-jie, FENG Ru-peng, ZHENG Liang-liang. Development status and trend of event-based vision sensor[J]. Chinese Journal of Liquid Crystals and Displays, 2021, 36(12): 1664
Category:
Received: May. 31, 2021
Accepted: --
Published Online: Jan. 1, 2022
The Author Email: FANG Ying-hong (941869192@qq.com)