ADAS DATA COLLECTION
Multi-sensor, real-world driving data across road types, weather, lighting and driver behaviour, collected to your sensor configuration and scenario specification for perception, validation and driver monitoring.
- 13+Years of Expertise, Since 2014
- 20+Industries Served
- 97%Quality Benchmark
- 24x7x365Secure Operations
- Ready-to-License Datasets
- Custom Purpose-Built Data Collection
- Multi-Industry Coverage
- Real-World Environments
Data Quality & Accuracy
Precise, model-ready data
Privacy & Compliance
Secure, compliant data handling
Ethical Sourcing
Ethical, fully consented, and diverse
Scalability & Flexibility
Scalable, adaptable data operations
Domain Expertise
Specialized industry expertise
- Consented Data
- GDPR & HIPAA Compliant
- TISAX Level 3
- ISO 27001 & 9001 Certified
INTRODUCTION
Driving Data Planned Around Your Operating Domain
ADAS and autonomous driving models are only as dependable as the conditions their data represents.
Datasets drawn from structured lanes, consistent signage and limited agent variety leave perception models unprepared for mixed traffic, faded markings, regional-language signage and sudden weather change. Those gaps usually surface during validation, when they are most costly to close.
Qualitas Global plans every collection around the operating domain of your system: sensor suite and mounting position, road type, geography, season, time of day, traffic agents and target events. Instrumented vehicles record synchronised camera, LiDAR, radar and positioning streams. In-cabin collections capture consented participants performing the driver behaviours your monitoring system must classify. Each batch is checked against your specification, metadata is recorded at source, and non-conforming runs are recollected before delivery.
Qualitas Global holds the IP for Indian road datasets, available ready to license where speed matters. Custom collection is available where your sensors, geography or scenarios are specific. Participant consent is documented at source, and data is handled under ISO 27001 controls and GDPR-aligned privacy practices.
OUR CAPABILITIES
ADAS Data Collection Across Roads, Conditions and Sensors
ADAS Data Collection
Driving data captured to your sensor configuration, route plan and scenario list, with metadata recorded for every run. Supports perception model training, algorithm development and system validation.
In-Cabin Data Collection
Consented participants recorded by cabin cameras while performing defined behaviours such as yawning, phone use, smoking and covering the face, with and without accessories. Supports driver monitoring and occupant monitoring systems.
Traffic Data Collection
Vehicle flow, density and mixed-agent behaviour recorded across congested and free-flowing conditions. Supports tracking, prediction and behaviour models.
Urban Driving Data Collection
City routes with dense traffic, varied road users, roadside clutter and frequent stops. Supports perception and planning models that must separate overlapping objects at close range.
Highway Data Collection
Expressway and highway driving at sustained speed, including lane changes, merges and forward-collision events. Supports lane keeping, adaptive cruise and collision warning functions.
Rural Road Data Collection
Rural roads, ghats and routes with faded or absent lane markings, uneven surfaces and animals on the carriageway. Supports models that cannot rely on structured road geometry.
Night-Time Data Collection
Driving captured at dusk, twilight and night, across street-lit and unlit roads, with glare from oncoming headlights. Supports low-light perception and headlight control functions.
Adverse Weather Data Collection
Driving recorded in rain, fog and winter conditions, with the surface and visibility changes they produce. Supports weather robustness testing and sensor degradation analysis.
Pedestrian & Cyclist Data Collection
Pedestrians, cyclists and riders recorded crossing, walking along and sharing the road with vehicles. Supports vulnerable road user detection and emergency braking models.
Traffic Sign & Signal Data Collection
Signs and signals captured across states, mounting types and lighting, including signage in regional languages. Supports sign recognition and signal state detection.
Lane & Road Marking Data Collection
Lane lines, arrows and surface markings in clear, worn, partial and absent states, across surface types. Supports lane detection and departure warning models.
Parking & Low-Speed Data Collection
Slow-speed manoeuvres, parking areas and tight-space driving recorded with close-range sensors. Supports parking assistance and low-speed obstacle detection.
Construction Zone Data Collection
Work zones with cones, barriers, temporary signage, narrowed lanes and altered traffic patterns. Supports models that must handle layouts that differ from mapped roads.
Road Hazard & Obstacle Data Collection
Potholes, debris, stopped vehicles, animals and other objects on or near the carriageway. Supports obstacle detection and hazard response models.
Intersection Data Collection
Signalised and un-signalised junctions, turns, right-of-way conflicts and cross-traffic. Supports junction assist and path prediction models.
Multi-Sensor Data Collection
Time-synchronised camera, LiDAR, radar and positioning data recorded from instrumented vehicles, using our sensor setup or yours. Supports sensor fusion, calibration checks and cross-modal validation.
Deep Domain Expertise Across
20+ Industry Verticals
Backed by deep domain expertise across 20+ industry verticals, we collect and annotate data your models can rely on.
Data, Collected &Annotated.Teams, Deployed.Ready When You Are.
Whether you need precisely annotated training data, real-world data collection, a dedicated in-house team, or other staffing solutions, Qualitas Global delivers all three under one roof. Backed by over a decade of experience, we back every engagement with a risk-free 2-day pilot before you commit.