Mobiusi

Blind Spot Door Opening Action Detection Dataset

#action recognition #behavior prediction #traffic safety #smart driving #human-vehicle interaction
  • 500 records
  • 1.7G
  • MP4/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

In the transportation industry, the safety of door opening actions is crucial, especially in busy urban traffic environments. Passengers and drivers failing to check blind spots in time can lead to serious accidents. Currently, although there are some monitoring systems, they generally have issues like slow response and low recognition accuracy. This dataset aims to help researchers and engineers develop more accurate blind spot monitoring systems using high-quality video data, thus enhancing traffic safety. Data collection is performed with high-resolution cameras in urban traffic environments to capture various door-opening scenarios. We use multi-round annotation and consistency checks for quality control, ensuring the accuracy and consistency of annotations. The final data is stored in MP4 format, organized by video ID for quick retrieval and processing.

Dataset Insights

Sample Examples

83284a70**.mp4|1440*1080|19.83 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
durationstringDuration
qualitystringResolution

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Blind Spot Door Opening Action Detection Dataset?
The Blind Spot Door Opening Action Detection Dataset is a video dataset used to identify whether passengers or drivers check the rear traffic situation before opening a car door, aimed at improving traffic safety.
Why is the Blind Spot Door Opening Action Detection Dataset important for traffic safety?
This dataset can aid in developing automated systems to reduce accidents caused by opening car doors without checking blind spots, thereby enhancing road traffic safety.
What types of data does the Blind Spot Door Opening Action Detection Dataset contain?
The dataset mainly includes video data that records the actions of passengers or drivers before opening a door, used for video understanding and analysis.
How can researchers use the Blind Spot Door Opening Action Detection Dataset for research?
Researchers can use this dataset to train machine learning models to detect and analyze blind spot checking behaviors before opening a car door, facilitating the development of safer vehicle systems.
What application scenarios is this dataset suitable for?
The Blind Spot Door Opening Action Detection Dataset is suitable for developing intelligent driving assistance systems, improving vehicle safety features, and other applications to enhance traffic safety.

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Cite this Work

@dataset{Mobiusi2025,
  title={Blind Spot Door Opening Action Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/74fede7e3c5fd5f8c309b3659cd0e933},
  urldate={2025-09-15},
  keywords={blind spot door opening action detection, traffic safety dataset, action recognition, smart driving},
  version={1.0}
}

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