Desert Convoy Crossing Route Video Dataset
#Video analysis #object detection #behavior recognition #Environmental monitoring #autonomous driving #path planning
- Records
- 500 records
- Size
- 1.4G
- Format
- MP4
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
In vast desert areas, road traffic and environmental monitoring have always been significant challenges. Traditional manual monitoring methods are inefficient and dangerous, and the lack of precisely annotated data for automated systems poses a dilemma for path planning and environment recognition by small unmanned convoys. This dataset aims to provide high-quality video data for autonomous driving and environmental monitoring systems to better tackle the complex and variable desert environment. Data is collected by HD cameras installed at the front of convoy vehicles, selecting covered path videos under different weather and lighting conditions. Multi-round annotation and expert review are conducted for data quality control, operated by a professional team with backgrounds in traffic and environmental science. Data is stored in MP4 format to ensure high compatibility and easy accessibility. Preprocessing includes video clipping, background noise cleaning, and scene change detection technical steps.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| weather_conditions | string | The weather conditions during the video recording, such as sunny, cloudy, or sandstorm. |
| sand_type | string | The type or characteristics of the sand in the desert, such as fine sand or gravel. |
| track_visibility | string | The visibility of the vehicle path in the video, such as clear, blurred, or obstructed. |
| vehicle_count | integer | The number of vehicles appearing in the video. |
| presence_of_animals | boolean | Whether there are animals appearing in the video. |
| dune_height | string | The relative height of the dunes in the video, such as low, medium, or tall. |
| video_quality | string | The quality of video recording, such as high definition, standard, or low definition. |
| sun_position | string | The position of the sun during video recording, such as sunrise, sunset, or midday. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What is the Desert Convoy Route Video Dataset?
- The Desert Convoy Route Video Dataset is a collection of videos recording the journey of convoys crossing deserts, suitable for environmental monitoring and autonomous driving research.
- What is the purpose of the Desert Convoy Route Video Dataset?
- The dataset is used for environmental monitoring and autonomous driving research, providing visual data on desert environments and driving conditions.
- How does this video dataset aid autonomous driving?
- The video dataset helps train autonomous driving systems to handle unique driving conditions in the desert, such as sand, extreme weather, and complex terrains.
- How does this dataset support environmental monitoring research?
- By analyzing scenes and weather changes in the videos, researchers can monitor changes in the desert environment and assess its impact on the climate.
- Why choose the desert as a background for autonomous driving and environmental monitoring research?
- The desert provides a challenging environment for testing autonomous driving technologies comprehensively, while also aiding in monitoring rapidly changing conditions to understand climate impacts.
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Cite this Work
@dataset{Mobiusi2026,
title={Desert Convoy Crossing Route Video Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/b1dcf9be7fedeab823f5e48b389442b7?dataset_scene_id=11},
urldate={2026-02-04},
keywords={Desert convoy video, environmental monitoring dataset, autonomous driving data},
version={1.0}
}Using this in research? Please cite us.
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