Configurable LiDAR Sensor Modules for Faster Multi-Sensor Correlation
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Solution Overview
Problem
Existing autonomous navigation systems face challenges in accurately and efficiently processing and correlating data from multiple sensors, leading to potential delays and errors in decision-making.
Innovation Solution
The development of a configurable sensor system that utilizes dynamic and modular sensor modules within LIDAR systems, allowing for real-time adaptation and correlation of data across various sensors, including LIDAR, infrared, and thermal sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple discrete sensors are integrated into autonomous navigation systems, then the quantity and variety of sensor data increase, but processing and correlating the outputs requires significant processing power and time
Solution Approach 1:
The sensor system is divided into multiple discrete sensor modules, each capable of independent operation. This segmentation allows the system to process data from individual sensors separately before correlation, reducing the overall processing burden compared to handling all sensor data simultaneously as a single large dataset.
Solution Approach 2:
Sensors are pre-positioned and pre-integrated into the vehicle structure at design stage, with their data collection and initial processing prepared in advance. This preliminary configuration reduces the real-time processing requirements during actual autonomous navigation operations.
2Area of stationary object
If sensors are positioned at different locations in vehicles, then the field of view and coverage are improved, but parallax error occurs due to data taken from different vantage points
Solution Approach 1:
A central processing system acts as an intermediary that receives data from multiple sensors positioned at different locations. This intermediary processes and correlates the data from various vantage points, applying computational corrections for parallax error to produce accurate unified measurements.
Solution Approach 2:
The system dynamically adjusts processing parameters based on the specific positions and characteristics of each sensor. By changing processing parameters according to sensor location, the system compensates for parallax effects while maintaining the benefits of multiple viewing angles.
3Adaptability or versatility
If sensors have different rates of data collection, then the system can capture more diverse information, but improper correlation results in motion errors or conflicts across sensor data
Solution Approach 1:
The system employs dynamic synchronization mechanisms that adapt to the different data collection rates of various sensors. Processing timing and correlation algorithms are dynamically adjusted based on the specific operational requirements and data rates of each sensor type, maintaining reliability while preserving versatility.
4Adaptability or versatility
If sensor systems are adapted to different types of autonomous navigation systems and vehicles, then the system becomes more versatile, but integration and collocation become challenging
Solution Approach 1:
The sensor modules are designed with universal interfaces and standardized mounting configurations that can be adapted to different vehicle types and autonomous navigation systems. This universal design approach enables the same sensor modules to be integrated across multiple platforms without requiring custom integration solutions for each application.
Data Source
AI summary
The present disclosure relates generally to systems and methods for generating, processing and correlating data from multiple sensors in an autonomous navigation system, and more particularly to the utilization of configurable and dynamic sensor modules within light detection and ranging systems that enable an improved correlation between sensor data as well as configurability and responsiveness of the system to its surrounding environment.