Pith Number

pith:WXUJPL2T

pith:2020:WXUJPL2TM6JZPTD64MVR4LA4LW

not attested not anchored not stored refs resolved

Virtual KITTI 2

Martin Humenberger, Naila Murray, Yohann Cabon

Virtual KITTI 2 clones five KITTI tracking sequences and supplies each in multiple weather and camera variants with complete synthetic labels.

arxiv:2001.10773 v1 · 2020-01-29 · cs.CV · cs.RO · eess.IV

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Record completeness

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4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

This paper introduces an updated version of the Virtual KITTI dataset which consists of 5 sequence clones from the KITTI tracking benchmark with variants for weather and camera configurations and provides RGB, depth, class segmentation, instance segmentation, flow, scene flow, camera parameters and vehicle locations.

C2weakest assumption

The synthetic variants and annotations are sufficiently realistic and useful for training models that will generalize to real-world autonomous driving data.

C3one line summary

Virtual KITTI 2 supplies synthetic clones of real KITTI driving sequences with added weather and camera variants and multi-modal ground-truth annotations for autonomous driving vision research.

References

27 extracted · 27 resolved · 1 Pith anchors

[1] Virtual worlds as proxy for multi-object tracking analysis 2016

[2] Procedural generation of videos to train deep action recognition networks 2017

[3] Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios 2019

[4] German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio M. Lopez. The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes. In CVPR, June 2016

[5] Are we ready for autonomous driving? the kitti vision benchmark suite 2012

Formal links

2 machine-checked theorem links

Cited by

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Receipt and verification

First computed	2026-07-05T00:37:12.012190Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b5e897af53679397cc7ee32b1e2c1c5d8a7ed18ed5b2f87934fb3a223e1b7b57

Aliases

arxiv: 2001.10773 · arxiv_version: 2001.10773v1 · doi: 10.48550/arxiv.2001.10773 · pith_short_12: WXUJPL2TM6JZ · pith_short_16: WXUJPL2TM6JZPTD6 · pith_short_8: WXUJPL2T

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/WXUJPL2TM6JZPTD64MVR4LA4LW \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b5e897af53679397cc7ee32b1e2c1c5d8a7ed18ed5b2f87934fb3a223e1b7b57

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "aa1f64bc859a621646738bdef50eb99776fd666c5908058e3079c26cccc17fa9",
    "cross_cats_sorted": [
      "cs.RO",
      "eess.IV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2020-01-29T12:13:20Z",
    "title_canon_sha256": "089de34ea2db622a6d73662df5a3d3918d65a5f3b70b4f5c86351e1eee0a4723"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2001.10773",
    "kind": "arxiv",
    "version": 1
  }
}