Lidar Intensity Correction via Angle of Incidence
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Solution Overview
Problem
Existing autonomous vehicle systems face challenges in accurately detecting objects and determining reflectivity due to variations in the angle of incidence of laser beams, which affect the intensity of lidar data, leading to incomplete and inaccurate navigation strategies.
Innovation Solution
A method and system that adjust the intensity of lidar data points based on the calculated angle of incidence, using surface normals to correct for the angle of incidence and provide accurate reflectivity estimates, thereby enhancing object detection and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If laser beam intensity is used directly for object detection, then the system is simple and fast, but the detection accuracy deteriorates due to angle of incidence variations
Solution Approach 1:
The system performs preliminary calculations of surface normals and angle of incidence for each lidar data point before using the intensity values for object detection. By pre-computing the geometric parameters needed for correction, the system eliminates the need for complex real-time adjustments during detection, thus improving accuracy without proportionally increasing complexity
Solution Approach 2:
The system transforms the raw intensity parameter into a corrected intensity parameter by applying a correction factor derived from the angle of incidence. This parameter transformation compensates for the angular dependence of reflected laser intensity, allowing accurate reflectivity estimation and object detection across varying incident angles
2Measurement precision
If angle of incidence correction is applied to all data points, then reflectivity estimation accuracy is improved, but computational time increases
Solution Approach 1:
The system applies angle of incidence correction selectively rather than uniformly to all lidar data points. By identifying regions where angular variation significantly impacts intensity measurements and applying correction primarily in those areas, the system achieves accurate reflectivity estimation while minimizing unnecessary computational overhead from processing all points with the same level of detail
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 solution improves the accuracy of object detection and navigation by correcting for the angle of incidence, leading to more reliable and precise autonomous vehicle operations.
Implementation Method 1
a first plurality of data points indicative of locations of reflections from the environment
Data Source
AI summary
Methods and systems for laser point clouds are described herein. The method and system may include receiving, at a computing device, lidar data indicative of an environment of a vehicle from a first lidar data source, where the lidar data includes a first plurality of data points indicative of locations of reflections from the environment and further includes a respective intensity for each data point. The method and system also include determining a first surface normal for at least a first data point of the first plurality of data points. The method and system further includes determining a first angle of incidence for the first data point based on the surface normal. Additionally, the method and system includes adjusting the intensity of the first data point based on the first angle of incidence to create a first adjusted intensity for the first data point.