LiDAR Detection Using Dynamic Signal Processing Modes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current LiDAR systems face limitations in detection accuracy due to low resolution and environmental factors, which can hinder the recognition of semantic information and detection of obstacles in autonomous driving applications.
Innovation Solution
A detection method that dynamically adjusts signal processing modes based on ambient information, switching between gray image and point cloud signal processing modes to optimize detection resolution and accuracy, utilizing an array-type single-photon avalanche diode (SPAD) for pixel-level resolution and high-precision distance information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single sensor is used for detection, then the device complexity is reduced, but the detection accuracy and resolution are insufficient for autonomous driving requirements
Solution Approach 1:
The patent applies multi-functionality by integrating multiple sensor types (laser radar, ultrasonic sensor, camera) into a single detection system that can perform various detection functions. The controller coordinates these diverse sensors to achieve comprehensive detection coverage, resolving the contradiction between using multiple sensors for high accuracy and maintaining system simplicity.
2Measurement precision
If multiple sensors are used for sensor fusion, then the detection accuracy is improved, but the device complexity and data processing burden increase
Solution Approach 1:
The patent segments the detection system into distinct functional modules: laser radar for long-range detection, ultrasonic sensors for close-range detection, and cameras for visual confirmation. Each sensor type processes data independently before the controller integrates the results, dividing the complex fusion task into manageable segments that reduce overall system complexity.
Solution Approach 2:
The system implements feedback mechanisms where the controller continuously monitors detection results from multiple sensors and adjusts the detection strategy in real-time. This feedback loop optimizes the fusion process by prioritizing reliable sensor data and adapting to environmental conditions, thereby managing computational complexity while maintaining high detection accuracy.
3Measurement precision
If the detection resolution is increased to recognize semantic information, then the detection accuracy is improved, but the data processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by selectively processing detection data based on priority and requirements. The controller processes high-priority detection information (such as obstacle detection) with full resolution while potentially reducing processing intensity for less critical areas. This selective processing approach maintains necessary detection resolution for safety-critical functions while reducing overall computational time and resource consumption.
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
Enhances detection resolution and accuracy by adapting signal processing to environmental conditions, enabling the recognition of semantic information and improving the overall performance of LiDAR systems in autonomous driving.
Implementation Method 1
utilizing an array-type single-photon avalanche diode (SPAD) for pixel-level resolution and high-precision distance information
Data Source
AI summary
The present disclosure provides a detection method, apparatus, and electronic device, relating to the field of LiDAR technology. The method includes: obtaining ambient information; determining a first signal processing mode for a receiver to process a current scanning received detection echo based on the ambient information; processing a received echo signal based on the first signal processing mode; and generating detection information based on the processed received echo signal.