Lidar Pulse Elongation for Volumetric Media Detection
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Solution Overview
Problem
Conventional LIDAR systems struggle to accurately distinguish between obstacles to be avoided and volumetric media such as air particulates, leading to errors in object perception due to misinterpretation of light pulses reflected by air particulates as obstacles.
Innovation Solution
The system measures pulse elongation of reflected light pulses to differentiate between objects and air particulates by comparing the pulse width of received light pulses with reference pulse widths, using a look-up table to adjust for different peak amplitudes, and classifying surfaces as objects or air particulates based on pulse elongation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LIDAR systems use conventional light pulse reflection detection, then they can detect objects in the environment, but they cannot accurately distinguish between obstacles and volumetric media such as air particulates
Solution Approach 1:
The patent applies parameter changes by analyzing the temporal characteristics (pulse width, rise time, fall time) of reflected light pulses to distinguish between different types of reflectors. By measuring how the light pulse is modified upon reflection, the system can differentiate between solid obstacles and volumetric media without requiring additional sensors or complex hardware modifications.
Solution Approach 2:
The patent introduces temporal analysis as an intermediary method between light emission and object classification. Instead of directly classifying objects based on presence alone, the system uses pulse width and temporal characteristics as intermediate parameters to infer object type, thereby resolving the ambiguity in detecting volumetric media versus solid obstacles.
2Reliability
If LIDAR systems classify all reflected light sources as obstacles, then they ensure safety by avoiding potential hazards, but they create false positives by misidentifying air particulates as obstacles
Solution Approach 1:
The system uses parameter changes in the reflected light pulse (specifically pulse width, rise time, and fall time characteristics) to classify objects. By establishing thresholds for these temporal parameters, the system can reliably distinguish between obstacles that require avoidance and volumetric media that can be traversed, thereby reducing false positives while maintaining safety.
Solution Approach 2:
The patent implements feedback by continuously analyzing the temporal characteristics of reflected pulses and adjusting object classification accordingly. The system uses the measured pulse width and temporal parameters as feedback signals to determine whether a detected object should be classified as an obstacle or volumetric medium, enabling dynamic and accurate environmental interpretation.
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
This approach enhances the accuracy of LIDAR systems in identifying objects and volumetric media, improving the precision of environmental mapping and obstacle detection for autonomous vehicles.
Implementation Method 1
Individual points in the point cloud may be determined by emitting light pulses into the environment and detecting return light pulses that were reflected from objects and other reflective surface in the environment
Implementation Method 2
The volumetric medium may include air particulates from which photons associated with return light pulses are scattered
Data Source
AI summary
Systems and methods are disclosed to identify a presence of a volumetric medium in an environment associated with a LIDAR system. In some implementations, the LIDAR system may emit a light pulse into the environment, receive a return light pulse corresponding to reflection of the emitted light pulse by a surface in the environment, and determine a pulse width of the received light pulse. The LIDAR system may compare the determined pulse width with a reference pulse width, and determine an amount of pulse elongation of the received light pulse. The LIDAR system may classify the surface as either an object to be avoided by a vehicle or as air particulates associated with the volumetric medium based, at least in part, on the determined amount of pulse elongation.