Work Site Obstacle Detection Using Terrain-Based Noise Filtering
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Solution Overview
Problem
Existing obstacle detection systems for work machines are prone to erroneous detection due to noise in sensor data, which can degrade the workability of the machines.
Innovation Solution
A detection system that includes a current terrain data storage unit, a first detection data acquisition unit, and a determination unit to differentiate between noise and obstacles based on stored terrain data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor detection is used to detect obstacles around a work machine, then obstacle detection capability is improved, but erroneous detection increases due to noise in detection data
Solution Approach 1:
The system performs preliminary actions by acquiring detection data from multiple sensors before making a final obstacle determination. The determination unit integrates detection results from first sensors (e.g., cameras) and second sensors (e.g., radar, lidar) to confirm obstacle presence, reducing erroneous detections caused by noise in individual sensor readings
Solution Approach 2:
The determination unit acts as an intermediary that processes and reconciles detection data from multiple sensor types. It compares detection results across different sensors and uses terrain data as a reference to filter out false positives, thereby improving detection reliability while maintaining accuracy
2Measurement precision
If multiple sensors are used to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The determination unit serves multiple functions: it processes detection data from different sensor types, compares results across sensors, references terrain data, and makes final obstacle determinations. This multi-functional approach consolidates what could be separate complex subsystems into a single integrated unit
Solution Approach 2:
The system merges detection data from first sensors (camera-based) and second sensors (radar/lidar-based) into a unified detection process. By combining these sensor types and their processing pipelines, the system achieves improved accuracy while managing complexity through integrated data handling rather than separate independent systems
Data Source
AI summary
A detection system for a work site includes: a current terrain data storage unit that stores current terrain data of the work site where a work machine operates; a first detection data acquisition unit that acquires detection data of a first sensor that detects surroundings of the work machine; and a determination unit that determines whether specific data detected by the first sensor is noise or an obstacle on the basis of the current terrain data.