mlsanityData to 7 Oct 2026

TICaM: A Time-of-flight In-car Cabin Monitoring Dataset

arXiv 2103.11719 ↗First posted 22 Mar 2021cs.CVcited by 10

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Abstract (arXiv)

We present TICaM, a Time-of-flight In-car Cabin Monitoring dataset for vehicle interior monitoring using a single wide-angle depth camera. Our dataset addresses the deficiencies of currently available in-car cabin datasets in terms of the ambit of labeled classes, recorded scenarios and provided annotations; all at the same time. We record an exhaustive list of actions performed while driving and provide for them multi-modal labeled images (depth, RGB and IR), with complete annotations for 2D and 3D object detection, instance and semantic segmentation as well as activity annotations for RGB frames. Additional to real recordings, we provide a synthetic dataset of in-car cabin images with same multi-modality of images and annotations, providing a unique and extremely beneficial combination of synthetic and real data for effectively training cabin monitoring systems and evaluating domain adaptation approaches. The dataset is available at https://vizta-tof.kl.dfki.de/.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 7 of its 25 references that are in the map. First posted on arXiv 22 Mar 2021.

Builds on

7 of 25 references.

References · 7

  1. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  2. 2019YOLACT: Real-time Instance Segmentationcited by 441
  3. 2017Real-time Distracted Driver Posture Classificationcited by 29
  4. 2020SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmarkcited by 21
  5. 2021SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequencescited by 10
  6. 2020DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functionscited by 5
  7. 2015Cost-based Feature Transfer for Vehicle Occupant Classificationcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 3; 2023: 3; 2024: 0; 2025: 0; 2026: 2.

10 papers.