Off-Road Vehicle Ground Unevenness Detection and Mapping System
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Solution Overview
Problem
Existing systems for detecting road surface conditions are inadequate for off-road vehicles traveling on undeveloped land, as they fail to account for obstacles like large rocks, holes, and uneven terrain, which are not addressed by conventional road surface state detection methods.
Innovation Solution
An off-road vehicle equipped with a satellite positioning module, sensors for detecting ground unevenness, a camera for capturing images, and a ground unevenness degree calculation unit that generates and stores ground unevenness-position data, along with a communication system to share this information for creating a ground unevenness distribution map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional road surface state detection methods are used, then road surface conditions can be detected, but off-road ground conditions including large rocks, holes, and uneven terrain cannot be accurately detected
Solution Approach 1:
The system changes the detection parameters by switching between different input data types (acceleration sensor data, camera image data) based on the ground condition type. For rocky ground, acceleration sensor data is used; for ground with large holes or vegetation, camera image data is used. This parameter switching enables accurate detection across diverse off-road terrain conditions that conventional single-method systems cannot handle.
2Measurement precision
If multiple sensors and cameras are used to detect various ground conditions, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The system dynamically selects and switches between different input data sources (acceleration sensor data or camera image data) based on the detected ground condition type. The input parameter setting unit automatically adjusts which sensor data to use, making the system adaptive rather than static. This dynamic switching maintains high detection accuracy across different terrain types while avoiding the need for continuously active complex sensor arrays.
Solution Approach 2:
The system performs self-adjustment by automatically selecting appropriate input parameters based on ground condition classification. The ground unevenness degree calculation unit receives different types of input data (acceleration or image data) depending on what is most suitable for the current terrain, eliminating the need for manual configuration or complex external control systems.
3Reliability
If real-time ground condition data is processed and shared, then navigation safety improves, but data processing time and energy consumption increase
Solution Approach 1:
The system pre-calculates and stores ground unevenness degree data in a data storage unit as the vehicle travels. This ground unevenness-position data is prepared in advance and can be quickly retrieved and shared via communication units when needed, rather than processing raw sensor data in real-time during critical navigation decisions. This preliminary data preparation reduces processing time during actual navigation while maintaining reliability.
Data Source
AI summary
An off-road vehicle that travels on the off-road ground includes: a sensor group configured to detect unevenness of the ground; a camera configured to capture the unevenness of the ground; a ground unevenness degree calculation unit configured to calculate a ground unevenness degree indicating an unevenness degree of the ground based on an input parameter; an input parameter setting unit configured to set, as the input parameter, data selected from among data detected by the sensor group and image data captured by the camera; an unevenness-position data generation unit configured to associate the actual vehicle position with the ground unevenness degree to generate ground unevenness-position data; and a data storage unit configured to store the ground unevenness-position data.