DataPilot / Labels and events

Label maneuvers and driving context.
See the rule behind each one.

Maneuvers, road type, surface, grade, roughness and direction – detected from your signals, or from GPS and map data.

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Inspect Trip: vehicle speed with hard braking, hard acceleration and ABS activation events over city and highway road type

Inspect Trip: vehicle speed with hard braking, hard acceleration and ABS activation over city and highway road type

How labels work

Rule-based. You can read every rule.

Each built-in label is a documented rule with fixed thresholds – on your signals, or on map data for GPS labels.
Every rule is in the knowledge base.

Label

Hard braking

Rule: Longitudinal acceleration below −0.7 g for at least 0.5 s
Signals used: Longitudinal acceleration · Wheel speeds

Built-in labels

Ready out of the box.

Each label runs automatically when its signals are mapped.
Only have GPS? Road type, grade and roughness come from map data along your route – no extra sensors needed.

Maneuvers

ABS activationHard accelerationHard brakingHard corneringWheel slip

Road type

HighwayCityOff-road

Road surface

WetDry

Road grade

UphillDownhillFlat

Road roughness

SmoothModerateRough

Driving direction

ForwardBackwardStanding

Coming soon

Your events, not just ours.

Describe the event in your own words –
AI turns it into a custom label you check on your data before saving.

1 Describe

Type the event in your own words, e.g. “Label when vehicle speed stays above 120 km/h for more than 10 seconds”.

Custom label wizard, step 2: the proposed rule and the events it finds

2 Review the rule

See the proposed rule in plain language and the events it finds in your data.

3 Save

Add the label to your library. It runs on every future dataset.

Summary

From event counts to answers.

See which trips contain which events, and how much of your data covers each condition.

Event totals across all trips
Share of data per condition, e.g. % of time on wet road
Filter trips by label – e.g. every trip with ABS activation

Roadmap

Available now · Coming next

Available now

Built-in maneuver and context labels
Labels drawn on your signals
Filter trips by label
Export labels as columns

Coming next

Custom labels
More built-in labels

FAQ

Questions about labels and events

Each built-in label is a rule with fixed thresholds. Every rule and threshold is documented in the knowledge base.

It depends on the label. See which signals each label needs.

No, but we recommend it. Labels are more accurate on cleaned data – sensor faults and spikes can’t trigger or hide events. Also, once a dataset is labeled, quality checks and cleaning are no longer available for it.

Custom labels are coming soon: describe the event in your own words, and AI turns it into a rule you check on your data before saving.

Export them as extra columns in the format you uploaded – for the whole dataset or for selected trips.

Get started

See what’s in your data.