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Computer vision for transport: a practical guide collection

Explore computer vision for transport through four focused guides for Canadian readers. Start with a defined question, examine the method and keep its limitations visible.

Computer vision for transport learning and planning

Define the measurement

Decide whether the task is counting, classifying, estimating queues or reviewing a specific movement. Different questions require different labels and evaluation methods.

Test the operating conditions

Evaluate representative views and conditions, including changing light, occlusion and seasonal weather where relevant. Record where observations are unreliable or missing.

Compare with a baseline

Use a suitable independent reference and report missed detections as well as false positives. Inspect performance by location and condition rather than only as one average.

Keep control decisions governed

Use qualified transport professionals and the responsible road authority for operational decisions. An analytical model is not, by itself, an approved traffic-control system.

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