# V2X-Seq

From the catalogue. Listed by one researcher from one source page.

- id: `v2x-seq`
- kind: driving
- robot or device: vehicle and roadside sensors, 28 intersections (class: vehicle)
- how collected: vehicle-infrastructure recording
- size as stated: 15,000+ frames in 95 scenarios; ~210,000 forecasting scenarios
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2023
- organisation: Tsinghua AIR / Baidu
- licence: not stated (class: not stated)
- access: gated (class: gated)
- link (dataset): https://github.com/AIR-THU/DAIR-V2X-Seq

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