In some embodiments, a LIDAR system may include at least one processor configured to control at least one light source for projecting light toward a field of view and receive from at least one first sensor first signals associated with light projected by the at least one light source and reflected from an object in the field of view, wherein the light impinging on the at least one first sensor is in a form of a light spot having an outer boundary. The processor may further be configured to receive from at least one second sensor second signals associated with light noise, wherein the at least one second sensor is located outside the outer boundary; determine, based on the second signals received from the at least one second sensor, an indicator of a magnitude of the light noise; and determine, based on the indicator the first signals received from the at least one first sensor and, a distance to the object.
Pattern recognition used to characterize LIDAR window obstruction
2024-06-25
Patent
Electronic Resource
English
IPC: | G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / B60S SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR , Warten, Reinigen, Instandsetzen, Unterstützen, Anheben oder Rangieren von Fahrzeugen, soweit nicht anderweitig vorgesehen / B81B Mikrostrukturbauelemente oder -systeme, z.B. mikromechanische Bauelemente , MICROSTRUCTURAL DEVICES OR SYSTEMS, e.g. MICROMECHANICAL DEVICES / G01H MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES , Messen von mechanischen Schwingungen oder Ultraschall-, Schall- oder Infraschallwellen / G01S RADIO DIRECTION-FINDING , Funkpeilung / G02B Optische Elemente, Systeme oder Geräte , OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS |
PATTERN RECOGNITION USED TO CHARACTERIZE LIDAR WINDOW OBSTRUCTION
European Patent Office | 2020
|Illuminator obstruction detection to identify an obstruction on an optical window
European Patent Office | 2021
|Characterize Rail Crack Pattern Through Image Analysis
British Library Conference Proceedings | 2020
|