LIDAR systems and methods for detection and classification of objects

This invention describes a system that uses LIDAR to identify objects by analyzing their 3D shape and how reflective different parts are. It specifically looks for a very reflective area, like a license plate, and two other less reflective spots on the same object. By comparing the brightness and positions of these areas, the system can determine if the object is a vehicle.

Why it matters: Filed before the latest generation of deep learning models for point cloud segmentation and feature extraction became widely accessible. These advancements could significantly improve the reliability of detecting specific reflectivity patterns and spatial relationships under varied real-world conditions.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: ModerateSoftware logic, LIDAR integration

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