FM Lidar Scanning for Accurate Range and Velocity Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional LIDAR systems face challenges in accurately detecting objects at varying distances and velocities, particularly in bright sunlight and suffer from interference issues like crosstalk and self-interference, requiring additional hardware and computational power.
Innovation Solution
The implementation of Frequency Modulated (FM) LIDAR systems that use single photon sensitive sensors and coherent detection techniques, enabling accurate velocity and range determination with reduced interference and computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional LIDAR systems use traditional detection methods, then they can detect objects, but they suffer from interference issues like crosstalk and self-interference requiring additional hardware and computational power
Solution Approach 1:
The patent applies frequency modulation to the laser beam, changing the frequency parameter over time according to a predetermined pattern. This allows the system to encode range and velocity information in the frequency domain, enabling coherent detection that is immune to crosstalk and self-interference without requiring additional hardware beyond the frequency modulated laser source and sensor
Solution Approach 2:
The patent replaces complex hardware interference mitigation systems with signal processing in the frequency domain. Instead of using additional hardware to prevent crosstalk and self-interference, the system uses frequency modulation and coherent detection to mathematically eliminate these interference effects, substituting mechanical/hardware complexity with computational elegance
2Reliability
If conventional LIDAR systems use traditional detection methods, then they can detect objects, but they require additional computational power to handle interference
Solution Approach 1:
By modulating the frequency of the laser beam and detecting the frequency shift in the return signal, the system encodes all necessary information (range and velocity) in the frequency domain. This allows for efficient computational processing using Fourier transforms and frequency analysis, reducing the computational burden compared to trying to mitigate interference in the time domain
3Adaptability or versatility
If conventional LIDAR systems operate in bright sunlight, then they can function, but they face challenges in accurately detecting objects
Solution Approach 1:
The frequency modulation technique allows the system to distinguish the modulated laser signal from unmodulated ambient sunlight by detecting the characteristic frequency pattern. The coherent detection method measures the phase and frequency of the return signal relative to the transmitted signal, enabling the system to extract accurate range and velocity information even in the presence of strong ambient light
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
FM LIDAR systems provide enhanced detection capabilities at greater distances, reduce interference, and require less hardware, resulting in more accurate and efficient object detection and vehicle control.
Implementation Method 1
a laser source configured to generate a beam
Implementation Method 2
a light sensor configured to output a signal based on the beam
Data Source
AI summary
A light detection and ranging (LIDAR) system includes a transmitter, a first receiver, a second receiver, and one or more processors. The transmitter is configured to output a transmit beam. The first receiver is positioned on a first side of the transmitter and is configured to receive a first component of a return beam from reflection of the transmit beam by an object. The second receiver is positioned on a second side of the transmitter and is configured to receive a second component of the return beam. The one or more processors are configured to determine at least one of a range to the object or a velocity of the object and control operation of the autonomous vehicle based on the at least one of the range or the velocity.