Construction Zone End-Point Detection Using Traffic-Aware Sensor Distance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for identifying the end point of a road construction section rely on information from a remote server, which is not feasible using sensors mounted on a subject vehicle.
Innovation Solution
A method and device that determine the end point of a road construction section by using vehicle surrounding information obtained from sensors mounted on a subject vehicle, specifically by detecting construction-related items and adjusting the predetermined distance based on the presence or absence of other vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the end point of a road construction section is identified based on information from a remote server, then the identification can be performed using centralized map data, but the system cannot identify the end point based on information detected by sensors mounted on the subject vehicle
Solution Approach 1:
The system segments the construction zone detection task into multiple components: construction related item detection, other vehicle detection, and end point determination. Each component is handled separately with specific sensor-based algorithms, allowing the system to process different types of information independently and combine them for accurate end point identification
Solution Approach 2:
The system introduces an intermediary processing layer that receives raw sensor data, detects construction related items and other vehicles, and uses this information to determine the end point. This intermediary layer translates sensor measurements into meaningful construction zone boundaries without relying on remote server information
2Ease of operation
If a fixed predetermined distance is used to determine the end point from the construction related item, then the determination process is simple, but the system cannot adapt to different traffic conditions around the construction zone
Solution Approach 1:
The predetermined distance is made dynamic rather than fixed. The system adjusts the distance based on real-time detection of other vehicles around the construction related item. When other vehicles are detected, a longer distance is used; when no other vehicles are present, a shorter distance is applied. This dynamic adjustment allows the system to adapt to varying traffic conditions while maintaining a relatively simple determination process
Solution Approach 2:
The system changes the parameter of predetermined distance based on detected conditions. The distance parameter is modified according to the presence or absence of other vehicles, allowing the end point determination to adapt to different traffic scenarios without requiring complex decision-making logic
Data Source
AI summary
A processor determines whether a construction related item has been detected or not ahead of a subject vehicle based on vehicle surrounding information obtained by a sensor and determines that a point separated by a predetermined distance ahead of the subject vehicle from the construction related item is an end point of the road construction section when determining that the construction related item has been detected. The predetermined distance when the construction related item is detected and another vehicle is not detected around the detected construction related item is shorter than the predetermined distance when the construction related item is detected and the other vehicle is detected around the detected construction related item.