{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T12:03:51Z","timestamp":1761739431777,"version":"build-2065373602"},"reference-count":30,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T00:00:00Z","timestamp":1761523200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Air Force Office of Scientific Research and the Air Force Research Laboratory Space Vehicles Directorate"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>We present the first study into the long-term effects of radiation on an Event-based Vision Sensor (EVS) using real-world data from orbit. Falcon Neuro is an experimental, first-of-its-kind payload attached to the exterior of the International Space Station (ISS) operating two DAVIS 240C Event-based Vision Sensors. This study considers data gathered by Falcon Neuro between January 2022 and September 2024 over a wide range of scenes from Earth-facing and space-facing sensors. Falcon Neuro contains the first working EVS system in orbit. While EVS radiation degradation has been studied on the ground, this is the first study of degradation for EVS cameras of any kind in a real, uncontrolled environment. EVS pixel circuits are unique, analog, and far more complex than CMOS or CCD cameras. By utilizing distinct and unique features in the data created by the different pixel circuits in the camera, we show that degradation effects over the life of the mission caused by radiation or other sources have been minimal, with only one of the 18 measures displaying a convincing deterioration trend. Ultimately, we demonstrate that DAVIS 240C Event-based Vision Sensors have a high aptitude for surviving long-term space flight.<\/jats:p>","DOI":"10.3390\/s25216599","type":"journal-article","created":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T05:48:46Z","timestamp":1761716926000},"page":"6599","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Event-Based Vision Sensor Lifetime Degradation in Low Earth Orbit"],"prefix":"10.3390","volume":"25","author":[{"given":"Zachary","family":"Wilcox","sequence":"first","affiliation":[{"name":"International Centre for Neuromorphic Systems, Western Sydney University, Kingswood, NSW 2747, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7463-2866","authenticated-orcid":false,"given":"Rui","family":"Graca","sequence":"additional","affiliation":[{"name":"Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5274-363X","authenticated-orcid":false,"given":"Brian","family":"McReynolds","sequence":"additional","affiliation":[{"name":"United States Air Force Academy Academy, 2345 Fairchild Dr., Colorado Springs, CO 80840, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Williams","sequence":"additional","affiliation":[{"name":"United States Air Force Academy Academy, 2345 Fairchild Dr., Colorado Springs, CO 80840, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2695-3745","authenticated-orcid":false,"given":"Saeed","family":"Afshar","sequence":"additional","affiliation":[{"name":"International Centre for Neuromorphic Systems, Western Sydney University, Kingswood, NSW 2747, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4488-033X","authenticated-orcid":false,"given":"Alexandre","family":"Marcireau","sequence":"additional","affiliation":[{"name":"International Centre for Neuromorphic Systems, Western Sydney University, Kingswood, NSW 2747, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew G.","family":"McHarg","sequence":"additional","affiliation":[{"name":"United States Air Force Academy Academy, 2345 Fairchild Dr., Colorado Springs, CO 80840, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0738-7589","authenticated-orcid":false,"given":"Gregory","family":"Cohen","sequence":"additional","affiliation":[{"name":"International Centre for Neuromorphic Systems, Western Sydney University, Kingswood, NSW 2747, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/JSSC.2007.914337","article-title":"A 128 \u00d7 128 120 dB 15 \u03bcs Latency Asynchronous Temporal Contrast Vision Sensor","volume":"43","author":"Lichtsteiner","year":"2008","journal-title":"IEEE J. Solid-State Circuits"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"085105","DOI":"10.1117\/1.OE.61.8.085105","article-title":"Falcon Neuro: An event-based sensor on the International Space Station","volume":"61","author":"McHarg","year":"2022","journal-title":"Opt. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1109\/JSSC.2014.2342715","article-title":"A 240 \u00d7 180 130 db 3 \u03bcs latency global shutter spatiotemporal vision sensor","volume":"49","author":"Brandli","year":"2014","journal-title":"IEEE J. Solid-State Circuits"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"G144","DOI":"10.1364\/AO.425623","article-title":"Commercial-off-the-shelf event-based cameras for space surveillance applications","volume":"60","author":"Monet","year":"2021","journal-title":"Appl. Opt."},{"key":"ref_5","unstructured":"Ralph, N. (2023). Exploring Space Situational Awareness Using Neuromorphic Event-Based Cameras. [Doctoral Dissertation, Sydney University]."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"McMahon-Crabtree, P.N., Pereira, W., Crow, R., Preston, R., Kulesza, L., Crowell, R., Morath, C.P., Maestas, D., Theis, Z., and Sablan, P. (2022, January 22\u201323). Automated characterization techniques and testbeds for event-based cameras. Proceedings of the Infrared Remote Sensing and Instrumentation XXX, San Diego, CA, USA.","DOI":"10.1117\/12.2634166"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Czech, D., and Orchard, G. (2016, January 26\u201329). Evaluating noise filtering for event-based asynchronous change detection image sensors. Proceedings of the 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Singapore.","DOI":"10.1109\/BIOROB.2016.7523452"},{"key":"ref_8","unstructured":"McReynolds, B., Graca, R., Oliver, R., Nishiguchi, M., and Delbruck, T. (2023, January 19\u201322). Demystifying event-based sensor biasing to optimize signal to noise for space domain awareness. Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), Maui, HI, USA."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Arja, S., Marcireau, A., Balthazor, R.L., McHarg, M.G., Afshar, S., and Cohen, G. (2023, January 17\u201324). Density invariant contrast maximization for neuromorphic Earth observations. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, BC, Canada.","DOI":"10.1109\/CVPRW59228.2023.00415"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1470","DOI":"10.1109\/5.90115","article-title":"The design of radiation-hardened ICs for space: A compendium of approaches","volume":"76","author":"Kerns","year":"1988","journal-title":"Proc. IEEE"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1109\/TNS.2021.3070643","article-title":"Evaluating architectural, redundancy, and implementation strategies for radiation hardening of FinFET integrated circuits","volume":"68","author":"Pagliarini","year":"2021","journal-title":"IEEE Trans. Nucl. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1002\/cta.3429","article-title":"A review on radiation-hardened memory cells for space and terrestrial applications","volume":"51","author":"Lorenzo","year":"2023","journal-title":"Int. J. Circuit Theory Appl."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/S0026-2714(99)00225-5","article-title":"An overview of radiation effects on electronics in space telecommunications environment","volume":"40","author":"Fleetwood","year":"2000","journal-title":"Microelectron. Reliab."},{"key":"ref_14","unstructured":"iniVation (2025, July 01). DAVIS 240. Available online: https:\/\/url.au.m.mimecastprotect.com\/s\/fMdvCRONEXuvMpWZOSrUYu1wA-U?domain=docs.inivation.com."},{"key":"ref_15","unstructured":"Hendrickson, A.J., and Haefner, D.P. (2025). Beyond Discretization: A Continuous-Time Framework for Event Generation in Neuromorphic Pixels. arXiv."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Manderscheid, J., Sironi, A., Bourdis, N., Migliore, D., and Lepetit, V. (2019). Speed invariant time surface for learning to detect corner points with event-based cameras. arXiv.","DOI":"10.1109\/CVPR.2019.01049"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"McHarg, M.G., Jones, I.R., Wilcox, Z., Balthazor, R.L., Marcireau, A., and Cohen, G. (2024). Falcon Neuro space-based observations of lightning using event-based sensors. Front. Remote Sens., 5.","DOI":"10.3389\/frsen.2024.1436898"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1093\/biomet\/41.1-2.100","article-title":"Continuous inspection schemes","volume":"41","author":"Page","year":"1954","journal-title":"Biometrika"},{"key":"ref_19","unstructured":"Gilbert, R.O. (1987). Statistical Methods for Environmental Pollution Monitoring, John Wiley & Sons."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"A37","DOI":"10.1051\/swsc\/2015037","article-title":"Radiation survey in the International Space Station","volume":"5","author":"Narici","year":"2015","journal-title":"J. Space Wather Space Clim."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Shahbazi-Gahrouei, D., Gholami, M., and Setayandeh, S. (2013). A review on natural background radiation. Adv. Biomed. Res., 2.","DOI":"10.4103\/2277-9175.115821"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1109\/5.90114","article-title":"Radiation Effects on Microelectronics in Space","volume":"76","author":"Srour","year":"2002","journal-title":"Proc. IEEE"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"060002","DOI":"10.1063\/1.5127719","article-title":"An Overview of Radiations Effects in Electronics","volume":"2160","author":"Geoge","year":"2019","journal-title":"AIP Conf. Proc."},{"key":"ref_24","unstructured":"Graca, R., and Delbruck, T. (2021). Unraveling the paradox of intensity-dependent DVS pixel noise. arXiv."},{"key":"ref_25","unstructured":"Graca, R., McReynolds, B., and Delbruck, T. (2023, January 21\u201325). Optimal biasing and physical limits of DVS event noise. Proceedings of the 2023 International Image Sensor Workshop (IISW), Crieff, UK."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Finateu, T., Niwa, A., Matolin, D., Tsuchimoto, K., Mascheroni, A., Reynaud, E., Mostafalu, P., Brady, F., Chotard, L., and LeGoff, F. (2020, January 16\u201320). A 1280 \u00d7 720 Back-Illuminated Stacked Temporal Contrast Event-Based Vision Sensor with 4.86 \u00b5m Pixels, 1.066GEPS Readout, Programmable Event-Rate Controller and Compressive Data-Formatting Pipeline. Proceedings of the 2020 IEEE International Solid-State Circuits Conference, San Francisco, CA, USA.","DOI":"10.1109\/ISSCC19947.2020.9063149"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"McReynolds, B.J., Graca, R., Kulesza, L., and McMahon-Crabtree, P. (2024, January 7\u201311). Re-interpreting the step-response probability curve to extract fundamental physical parameters of event-based vision sensors. Proceedings of the Unconventional Optical Imaging, Strasbourg, France.","DOI":"10.1117\/12.3022308"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Gra\u00e7a, R., Mcreynolds, B., and Delbr\u00fcck, T. (2023, January 17\u201324). Shining light on the DVS pixel: A tutorial and discussion about biasing and optimization. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada.","DOI":"10.1109\/CVPRW59228.2023.00423"},{"key":"ref_29","unstructured":"McReynolds, B., Graca, R., and Delbruck, T. (2023, January 21\u201325). Exploiting Alternating DVS Shot Noise Event Pair Statistics to Reduce Background Activity. Proceedings of the 2023 International Image Sensors Workshop (IISW), Crieff, UK."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Hu, Y., Liu, S.C., and Delbruck, T. (2021, January 19\u201325). v2e: From video frames to realistic DVS events. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Online.","DOI":"10.1109\/CVPRW53098.2021.00144"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/25\/21\/6599\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T05:56:41Z","timestamp":1761717401000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/25\/21\/6599"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":30,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2025,11]]}},"alternative-id":["s25216599"],"URL":"https:\/\/doi.org\/10.3390\/s25216599","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2025,10,27]]}}}