Lidar Data Processing

The method uses moving averages to classify LIDAR sensor data, distinguishing between active and inactive blanks to accurately detect vehicles with low-reflectivity surfaces, enhancing real-time processing and reducing misclassification.

GB2635771BActive Publication Date: 2026-06-24RED FOX I D LTD
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Patent Information

Application Number
GB2023018079
Authority / Receiving Office
GB · GB
Patent Type
Patents
Current Assignee / Owner
Filing Date
2023-11-27
Publication Date
2026-06-24
Estimated Expiration
2043-11-27

AI Technical Summary

Technical Problem

LIDAR sensors struggle with distinguishing between low-reflectivity surfaces and sensor faults, leading to incorrect classification of vehicles, particularly with articulated vehicles, where the cab is detected but the trailer is misclassified as a separate vehicle due to blank readings.

Method used

A method using moving averages to classify blank data points as 'active' or 'inactive' based on the frequency of blank and non-blank readings, allowing for accurate detection of vehicles by interpreting 'active blanks' as indicative of low-reflectivity surfaces, and adjusting actions like camera triggering accordingly.

Benefits of technology

Enables accurate vehicle detection and timely follow-up actions, such as photographing license plates, by correctly identifying vehicles with low-reflectivity surfaces, reducing misclassification and improving real-time data processing efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

Techniques are presented for processing LIDAR data from a sensor mounted for example on a gantry over a roadway to identify “active blank” data points (caused by a low or non-reflective object) or “in
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Citation Information

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