Your Partner in AD/ADAS Training and Validation
Your Partner for Real-World AD/ADAS Training Data
Our Solution
Transforming traffic video into digital driving scenarios
VIDEO from CCTV Camera
Video of simulation
Scenarios interface
Filter by cameras, tracks number, scenario length, maneuver features.
Scenario contains objects’ coordinates, timestamps, metadata e.g. weather conditions, road features and location.
Driveinsight scientific contribution
Citation
Our paper introducing the dataset and the used methods is published at the IEEE 2026 and available. To reference the dataset, please use:
@inproceedings{zhdanov2025driveinsight,
title = {DriveInsight: CCTV-based dataset capturing real-world scenarios},
author = {Pavlo Zhdanov, Sultan Yerumbayev, Adil Khan, Adín Ramírez Rivera},
booktitle = {Proceedings of the 20XX IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2025},
pages = {xxx--xxx},
address = {City, Country},
publisher = {IEEE},
doi = {10.1109/XXXX.2025.xxxxxx},
url = {https://example.org/driveinsight},
keywords = {autonomous driving, scenarios, trajectories, CCTV, dataset}
}
Pavlo Zhdanov
Chief Executive Officer
Sultan Yerumbayev
Product Manager
WHO WE ARE?
We are a startup focused on creating scenarios from video data captured by road surveillance cameras. Our key advantages include delivering natural scenarios with detailed data segmentation and a massive stream of scenarios sourced from hundreds to thousands of cameras worldwide
Our origins are deeply rooted in pioneering research in computer vision, robotics, and AI. United by a shared vision, we embarked on a transformative mission to unlock the potential of motion data, enabling a deeper understanding of the world’s dynamics
We specialize in AI-driven scenario segmentation, classification, clusterization, and analysis. Our advanced technology breaks down complex traffic data into distinct scenarios, categorizes them, and groups similar patterns, providing deep insights into traffic dynamics. This comprehensive approach enables precise predictions and optimisations, revolutionising traffic management and vehicle automation.
Our team
Scientific advisors
Developmen Team
Our Features
Connect your video source or use open source cameras to generate scenario data
Access unlimited amount of scenarios which can be generated on demand. Internet is full of open translations covering extensive variations of road conditions. Our team is constantly working on expanding the list of available scenarios
Extract needed scenarios based on the tags
Looking for a particular scenario? Our team constantly improves scenario analytics to be able to filter out data by tags. Current tagging system recognizes trajectory features like turns, lane changes, U-turns, tracks, buses. Future development includes more edge cases like accident or near accident situations, pedestrian crossing, traffic light violations, cut-in, overtaking, etc
Integration with common simulation platforms
Our scenarios are compatible with most of the common simulation platforms like CARLA, Esmini. Currently scenario generation is available in OpenDrive format which can be used in CARLA, Esmini plaforms for further autopilot’s training and validation. We are constantly working on expanding the list of supported platforms
Benefits
Huge dataset of real-world scenarios
Scenario classification and segmentation
Supporting different standards like OpenScenario 2.0
Additional Solutions
Partners
ASK FOR DEMO SCENARIOS AND FURTHER PARTNERSHIP
Explore extensive, pre-processed automotive-grade traffic data spanning thousands of kilometers worldwide, or upload your own videos for 3D data extraction. Obtaining precise trajectory data at your chosen locations has never been more convenient