Vehicle Surrounding Detection via Multi-Source Data Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional detectors used in vehicles for surrounding environment detection have limitations such as speed restrictions, susceptibility to weather conditions, complex data calculations, and incompatibility of data from different types, leading to inaccurate and incomplete obstacle detection.
Innovation Solution
A system integrating multiple types of detectors (image, supersonic, optical laser, millimeter wave/microwave, and infrared radars) with a primary control module for data fusion, converting positional information relative to detectors into vehicle-centered data, and displaying warnings through primary and secondary display units to enhance driver awareness and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple types of detectors are used to improve detection accuracy and coverage, then measurement precision and reliability are improved, but device complexity increases due to data fusion requirements
Solution Approach 1:
The system divides detection tasks among different detector types (supersonic radar for short-range parking, optical laser radar for long-range positioning, millimeter wave/microwave radar for speed-adjustable detection, infrared radar for angular measurement) and processes their data separately before fusion, allowing each detector to specialize in specific detection scenarios while maintaining overall system accuracy
Solution Approach 2:
A data fusion module acts as an intermediary between multiple detectors and the control system, receiving data from different detector types, performing coordinate transformations to unify reference frames, and integrating the data into comprehensive obstacle information, thereby managing the complexity of combining heterogeneous detector outputs
2Reliability
If different types of detectors are combined to provide comprehensive detection data, then reliability is improved, but ease of operation deteriorates due to complicated data integration
Solution Approach 1:
The system transforms detection data from different detector coordinate systems into a unified vehicle-centered coordinate system through parameter transformations, allowing data from detectors with different reference frames (detector-relative positions vs. vehicle-relative positions) to be integrated seamlessly without manual coordinate conversion
Solution Approach 2:
The data fusion module serves as an intermediary that automatically handles the complex integration of heterogeneous detector data, performing coordinate transformations, data correlation, and fusion algorithms to produce unified obstacle information, thereby shielding the user from the complexity of multi-detector data integration
3Area of stationary object
If detectors are installed at different positions on the vehicle to expand detection coverage, then area of detection is improved, but measurement precision deteriorates due to positional variations
Solution Approach 1:
The system applies coordinate transformation parameters to convert detection data from detectors installed at various vehicle positions into a unified vehicle-centered reference frame, compensating for positional variations and ensuring that obstacle positions are accurately represented relative to the vehicle center regardless of detector installation location
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 system provides accurate, adaptable, and intuitive obstacle detection, enhancing driving safety by combining detector data and enabling proactive collision avoidance, with clear visual and acoustic warnings, and automatic assistance in vehicle movement control.
Implementation Method 1
Optical laser radars have the longest detection distance and thereby provide positional measurement that is yet the most accurate
Implementation Method 2
supersonic radars can only be used at slow speed, like parking a vehicle, because the sound velocity is low and susceptible to Doppler effects
Implementation Method 3
Among all, infrared radars provide the most precise angular measurement
Implementation Method 4
The application of millimeter wave/microwave radars has been the widest so far
Data Source
AI summary
A system and method applicable to a vehicle for detecting a surrounding environment are provided. The system and method include installing primary and secondary display units in a vehicle; installing a plurality of detectors of various types around the vehicle; detecting obstacles around the vehicle using the plurality of different detectors; generating and outputting first detector data to be received by a primary control module; generating second detector data by integrating data to generate and transmit a primary warning message including vehicle positional information relative to the obstacle and a secondary warning message comprising obstacle positional information to the primary and secondary display units respectively for display. The system and method enable accurate detection of an obstacle via the warning messages and improved driving safety, using detectors with functions different from and complementary to one another.