AUTONOMOUS DRIVING & ADAS

Build the Real-World Driving Data
Your Model Is Missing.

We design targeted field collection programs for perception, prediction, planning, and ADAS teams that need operational data beyond standard benchmark datasets.

Define the target environment, failure scenario, metadata scope, QA rules, and delivery requirements. We then review feasibility and recommend a practical starting scope.

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OPERATIONAL EVIDENCE

Examples from Field Collection Operations

Representative excerpts from real-world driving data collected through our field operations.
These examples demonstrate the types of mixed traffic, intersection complexity, and road-user interactions our collection workflow can capture.

Mixed Urban Traffic

Dense interaction among vehicles, motorcycles, pedestrians, and other road users in an unstructured urban environment.

Complex Intersection Activity

Multi-directional traffic movement, limited lane discipline, and close interactions across a dense intersection.

These videos are operational examples, not the limit of our collection scope. Target geography, route profile, scene conditions, capture protocol, metadata, and delivery format are reviewed against each customer requirement.

Discuss Similar Collection

CONFIGURABLE DATA PROGRAMS

Data Programs We Can Support

Collection scope can be configured around the model behavior, operating environment, and evaluation objective your team needs to investigate.

01

Complex Traffic Interaction

Mixed road users, close-range interactions, weak lane discipline, dense intersections, and unpredictable movement patterns.

02

Pedestrian-Rich Environments

Markets, roadside activity, informal crossings, crowded streets, and complex pedestrian–vehicle interactions.

03

Night and Low Visibility

Nighttime traffic, uneven lighting, glare, shadow, visibility changes, and other difficult perception conditions.

04

Long-Tail Road Behavior

Unusual road users, rare interactions, temporary obstructions, atypical maneuvers, and other model failure scenarios.

05

Customer-Defined Capture Scope

Target geography, route profile, time of day, traffic density, capture duration, camera setup, and collection protocol.

06

Engineering Delivery Requirements

Video structure, GPS, IMU, timestamps, scene metadata, annotations, manifests, QA reports, and delivery formats.

DEFINE THE MODEL GAP

Tell Us Where Your Model Is Failing.

Share the target environment, difficult interaction, perception limitation, or validation requirement your team needs to investigate. We will review feasibility and recommend a practical starting scope.

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HOW WE START

Typical Engagement Process

Every engagement begins by understanding the model objective and reviewing whether the requested collection can be delivered with a practical operational plan.

01

Define Collection Requirements

Review operating environment, target scenes, metadata, annotations, and delivery expectations.

02

Evaluate Operational Feasibility

Confirm whether the requested locations, scenarios, timeline, and quality requirements are achievable.

03

Begin with a Focused Scope

Start with a practical collection scope that can be reviewed before expanding into larger production.