Construction Zone End-Point Detection Using Vehicle Sensor Cues
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Solution Overview
Problem
Existing systems fail to accurately identify the end point of a road construction section using information detected by a sensor mounted on a subject vehicle.
Innovation Solution
A construction section determination method and device that utilizes sensors on a vehicle to detect construction-related items and other vehicles, determining the end point of a road construction section based on the presence or absence of these items and adjusting driving modes accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the end point of a road construction section is identified based on remote server information, then the system can provide construction zone data, but it cannot accurately identify the end point using sensor-mounted information on the subject vehicle
Solution Approach 1:
The system segments the construction zone identification process into multiple components: detecting construction-related items (cones, signs, barriers) using vehicle-mounted sensors, detecting other vehicles in the vicinity, and combining this local sensor data with remote server information to precisely determine the end point of the construction section
Solution Approach 2:
The system uses an intermediary approach by incorporating detection results of both construction-related items and other vehicles as intermediate steps to infer the end point location, rather than directly relying on remote server data alone
2Reliability
If the predetermined distance is extended beyond the last detected construction object, then the system may capture the end point, but it increases the likelihood of missing the end point when other vehicles are present
Solution Approach 1:
The system dynamically adjusts the detection strategy based on real-time conditions: when other vehicles are detected near construction objects, the system modifies its end point determination approach by using the other vehicle's position as an additional reference point, rather than relying on a fixed predetermined distance extension
Solution Approach 2:
The system changes detection parameters based on environmental conditions - specifically, it adjusts how the end point distance is calculated depending on whether other vehicles are present, transforming from a static distance extension method to a conditional multi-factor determination method
3Measurement precision
If the system waits for a construction related item to be detected before determining the end point, then it ensures accuracy, but it delays the transition from hands-on to hands-off driving mode
Solution Approach 1:
The system performs preliminary detection of construction-related items and other vehicles continuously before the actual end point determination is needed, so that when the end point needs to be identified, the information is already available, enabling timely transition to hands-off driving mode without waiting for last-minute detections
Data Source
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AI summary
A processor (7) 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 (1) 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.