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Here, inspired by the exceptional temporal resolution of falcon vision systems (&gt;150\u00a0Hz), we develop a neuromorphic vision sensor capable of ultrafast, edge\u2010selective perception for dynamic traffic scenarios. The sensor leverages vertically stacked, edge\u2010rich SnS\n                    <jats:sub>2<\/jats:sub>\n                    \/MoS\n                    <jats:sub>2<\/jats:sub>\n                    van der Waals heterostructures, in which a high density of atomic\u2010scale interfaces and defective edges enables enhanced light\u2010matter interactions and rapid carrier dynamics. These structural advantages endow the Falcon Vision Sensor (FVS) with synaptic plasticity (PPF = 201%, LTP = 1300s), high refresh rate (250\u00a0Hz), and intrinsic erasure behaviors, closely mimicking the temporal precision and motion discrimination features of falcon vision. When the synaptic devices are integrated with computing modules, the system achieves real\u2010time obstacle detection, along with a directional motion recognition accuracy of 98.89%. This work demonstrates a robust biologically inspired visual intelligence, offering a compact, low\u2010latency solution for next\u2010generation autonomous vehicles and edge AI applications requiring rapid environmental responsiveness.\n                  <\/jats:p>","DOI":"10.1002\/adma.202512548","type":"journal-article","created":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T12:56:33Z","timestamp":1770641793000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Falcon Vision\u2010Inspired Ultrafast Traffic Obstacle Avoidance Based on 2D Edge\u2010Rich van der Waals Heterostructures"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7312-877X","authenticated-orcid":false,"given":"Yang","family":"Guo","sequence":"first","affiliation":[{"name":"State Key Laboratory of New Textile Materials and Advanced Processing, School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan P. 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Decai","family":"Ouyang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of New Textile Materials and Advanced Processing, School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6948-3106","authenticated-orcid":false,"given":"Wei","family":"Si","sequence":"additional","affiliation":[{"name":"Key Laboratory for Special Area Highway Engineering of Ministry of Education Highway School Chang'an University  Xi'an P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Automation and Information Engineering Xi'an University of Technology  Xi'an P.R. 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