LiDAR Intensity Control for Reflective Object Interference
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Solution Overview
Problem
LiDAR sensors face difficulties in detecting objects due to saturation and cross-talk caused by highly reflective objects, which obscures nearby objects with low reflectivity, leading to incomplete environmental observations.
Innovation Solution
A system that initially scans the environment to detect highly reflective objects, adjusts the LiDAR scanning intensity and direction, and dynamically controls detector pixels to omit reflections from these objects, generating a composite point cloud that mitigates interference and provides a complete observation of the surrounding environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the LiDAR scans with high intensity to detect highly reflective objects, then the detection capability for highly reflective objects is improved, but the detector pixels become saturated causing cross-talk and noise that obscures nearby low-reflectivity objects
Solution Approach 1:
The system dynamically adjusts the intensity of the light beam based on the detected reflectivity characteristics of objects. When a highly reflective object is detected, the system reduces the beam intensity to prevent pixel saturation and cross-talk, thereby maintaining the ability to detect both highly reflective and low-reflectivity objects without information loss
Solution Approach 2:
The system changes the operational parameters of the LiDAR by adjusting the light beam intensity dynamically. This parameter adjustment allows the system to adapt to different object reflectivity levels, preventing detector saturation while maintaining detection sensitivity for various object types
2Device complexity
If the LiDAR uses a fixed scanning intensity, then the device complexity is reduced, but the system cannot adapt to different object reflectivities causing incomplete environmental observation
Solution Approach 1:
The system implements a feedback mechanism where the LiDAR initially scans the environment at a first intensity, detects highly reflective objects, and then uses this information to adjust the beam intensity to a second, lower intensity for subsequent scanning. This feedback loop enables the system to adapt to different object reflectivities without requiring complex pre-programming or manual configuration
Solution Approach 2:
The system performs a preliminary scan at higher intensity to identify highly reflective objects before conducting the main scanning operation. This preliminary action allows the system to gather information about the environment's reflectivity characteristics and adjust subsequent scanning parameters accordingly, improving overall detection capability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively improves the detection of objects with low reflectivity by reducing interference from highly reflective objects, resulting in a more accurate and unobstructed point cloud representation of the environment.
Implementation Method 1
a detector, e.g., a focal plane array (FPA), of the LiDAR that detects reflected light from objects
Implementation Method 2
the high intensity reflection can saturate the pixels causing cross-talk between the individual pixels of the array
Implementation Method 3
the system uses a general awareness of the location of the obscuring objects and selectively blocks pixels for a time when the reflections from the obscuring object are expected to be received
Data Source
AI summary
System, methods, and other embodiments described herein relate to improving observations of a surrounding environment using a light detection and ranging (LiDAR) device in the presence of highly reflective surfaces. In one embodiment, a method includes, in response to determining that a first point cloud includes an observation of an obscuring object that is highly reflective: i) emitting a scanning light beam at a scanning intensity that is different from an initial intensity of an initial light beam used to acquire the first point cloud, and ii) dynamically controlling the LiDAR device to acquire a second point cloud that omits the obscuring object. The method includes generating a composite point cloud from the first point cloud and the second point cloud that improves an observation of the surrounding environment using the LiDAR device by mitigating interference from the obscuring object.