Activity-Driven, Event-Based Vision Sensors

被引:0
|
作者
Delbrueck, Tobi [1 ]
Linares-Barranco, Bernabe [2 ]
Culurciello, Eugenio [3 ]
Posch, Christoph [4 ]
机构
[1] UNI ETH Zurich, Inst Neuroinformat, Zurich, Switzerland
[2] Ctr Microelect, Seville, Spain
[3] Yale Univ, Dept Elect Engn, New Haven, CT 06520 USA
[4] Australian Inst Technol GmbH, Vienna, Austria
关键词
CHIP; CONTRAST; 128X128; RETINA; CAMERA;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The four chips [1-4] presented in the special session on "Activity-driven, event-based vision sensors" quickly output compressed digital data in the form of events. These sensors reduce redundancy and latency and increase dynamic range compared with conventional imagers. The digital sensor output is easily interfaced to conventional digital post processing, where it reduces the latency and cost of post processing compared to imagers. The asynchronous data could spawn a new area of DSP that breaks from conventional Nyquist rate signal processing. This paper reviews the rationale and history of this event-based approach, introduces sensor functionalities, and gives an overview of the papers in this session. The paper concludes with a brief discussion on open questions.
引用
收藏
页码:2426 / 2429
页数:4
相关论文
共 50 条
  • [1] Behavioural Emulation of Event-Based Vision Sensors
    Katz, M. L.
    Nikolic, K.
    Delbruck, T.
    2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012), 2012, : 737 - 740
  • [2] Experiencing Prosthetic Vision with Event-Based Sensors
    Rueckauer, Bodo
    van Gerven, Marcel
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NEUROMORPHIC SYSTEMS 2022, ICONS 2022, 2022,
  • [3] Neuromorphic vision: From sensors to event-based algorithms
    Lakshmi, Annamalai
    Chakraborty, Anirban
    Thakur, Chetan S.
    WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2019, 9 (04)
  • [4] Data-Driven Technology in Event-Based Vision
    Sun, Ruolin
    Shi, Dianxi
    Zhang, Yongjun
    Li, Ruihao
    Li, Ruoxiang
    COMPLEXITY, 2021, 2021
  • [5] Event-Based Pedestrian Detection Using Dynamic Vision Sensors
    Wan, Jixiang
    Xia, Ming
    Huang, Zunkai
    Tian, Li
    Zheng, Xiaoying
    Chang, Victor
    Zhu, Yongxin
    Wang, Hui
    ELECTRONICS, 2021, 10 (08)
  • [6] An Event-Based Optical Flow Algorithm for Dynamic Vision Sensors
    Ridwan, Iffatur
    Cheng, Howard
    IMAGE ANALYSIS AND RECOGNITION, ICIAR 2017, 2017, 10317 : 182 - 189
  • [7] Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With Spiking Output
    Posch, Christoph
    Serrano-Gotarredona, Teresa
    Linares-Barranco, Bernabe
    Delbruck, Tobi
    PROCEEDINGS OF THE IEEE, 2014, 102 (10) : 1470 - 1484
  • [8] Continuous-Time Trajectory Estimation for Event-based Vision Sensors
    Mueggler, Elias
    Gallego, Guillermo
    Scaramuzza, Davide
    ROBOTICS: SCIENCE AND SYSTEMS XI, 2015,
  • [9] Event-Based Vision: A Survey
    Gallego, Guillermo
    Delbruck, Tobi
    Orchard, Garrick Michael
    Bartolozzi, Chiara
    Taba, Brian
    Censi, Andrea
    Leutenegger, Stefan
    Davison, Andrew
    Conradt, Jorg
    Daniilidis, Kostas
    Scaramuzza, Davide
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 44 (01) : 154 - 180
  • [10] An Application-Driven Survey on Event-Based Neuromorphic Computer Vision
    Cazzato, Dario
    Bono, Flavio
    INFORMATION, 2024, 15 (08)