VRU (Vulnerable Road Users) Dataset for Motion-Based Machine Learning & Driving Simulation. See Features ▼
HIGH-RISK PEDESTRIAN BEHAVIORS
Captures high-stakes human actions triggering traffic emergencies, from erratic maneuvers to multi-actor dynamics. This motion combo features pedestrians darting into lanes and intoxicated stumbles, alongside coordinated activities like roadside altercations and synchronized group load-carrying tasks that obstruct roadway visibility.
Note: Integrated project files are included for all multi-character motions to ensure instant, frame-perfect positioning.
PEDESTRIAN-VEHICLE ENCOUNTERS
Comprehensive motion data covering the full spectrum of pedestrian-vehicle encounters. This feature includes high-tension near-misses where characters jump or scramble to safety, and impacts on stationary pedestrians from multiple angles. It also provides specialized collision physics for pedestrians in motion-capturing the distinct momentum and fall trajectories of walking, running, and jogging subjects upon impact. Essential for validating ADAS detection and post-collision analysis
MICRO-MOBILITY - FROM NAVIGATION TO UNEXPECTED FALLS
This comprehensive set captures the full behavioral spectrum of E-scooter, Rollerblade, and Hoverboard users. It covers routine navigation-such as mounting, cruising, idling, and situational scanning-as well as high-risk instability events like drifting-related falls and balance loss. By bridging the gap between stable movement and sudden accidents, this dataset provides the diverse data needed to train AI for both trajectory prediction and emergency response.
Bonus
Included as a special bonus: 3D models for E-scooter, Rollerblades, and Hoverboard. This ensures your simulation environment is complete and ready to deploy, allowing the motion data to be perfectly paired with the corresponding vehicles right out of the box.
From Real-World Capture to Precision Motion Data
Utilizing professional-grade optical motion capture systems, we meticulously record real-world human reactions and translate them into high-fidelity motion sequences. By bridging the gap between live-action performance and digital simulation, this rigorous process ensures that every stumble, collision, and balance shift maintains its original physiological momentum and timing-providing the authentic data foundation required for training safety-critical AI and sensor algorithms.
Our solutions rapidly generate highly customizable characters and seamlessly integrate them into realistic animations. Via streamlined integration, we save you valuable time and significantly reduce costs, paving the way for transformative advancements in AI training.
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