Vehicle Queue Cause Estimation Using Onboard Sensors and Map Data
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Solution Overview
Problem
Existing vehicle line detection systems using fixed monitoring cameras are limited by their imaging range and cannot estimate the cause of a vehicle line when the cause exists outside the camera's field of view.
Innovation Solution
A method utilizing sensors mounted on vehicles to acquire position and video information from multiple vehicles within a line, enabling estimation of the cause of the vehicle line by analyzing facility and road features using position and video data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed monitoring camera is used to detect vehicle lines, then the detection cost is low and real-time detection is possible, but the imaging range is limited and causes outside the imaging range cannot be detected
Solution Approach 1:
The system divides the detection task among multiple moving vehicles, where each vehicle's sensor contributes to detecting different segments of the road environment. This segmentation allows the system to cover a much larger area than a single fixed camera could capture.
Solution Approach 2:
The system transitions from a fixed two-dimensional camera view to a multi-dimensional approach by utilizing sensors on multiple moving vehicles at different positions and angles, creating a three-dimensional coverage of the road environment that eliminates blind spots.
2Device complexity
If a fixed monitoring camera is used, then the system structure is simple, but it is impossible to estimate the cause of a vehicle line when the cause exists outside the imaging range
Solution Approach 1:
The system merges data from sensors on multiple vehicles with map information and facility data to create a comprehensive view of the road environment. This combination allows the system to estimate causes of vehicle lines even when individual sensors cannot directly observe them.
Solution Approach 2:
The system uses map information and facility data as intermediary information to bridge gaps in direct observation. When sensor data alone cannot determine the cause of a vehicle line, the system refers to map data about facilities and road features to infer the cause.
3Area of stationary object
If sensors on multiple vehicles are used to estimate vehicle line causes, then the imaging range is extended beyond fixed cameras, but the system complexity increases
Solution Approach 1:
The system uses multi-functional sensors on vehicles that can perform both primary driving functions and cause estimation functions. This universality reduces the need for separate dedicated equipment, thereby limiting the increase in system complexity while expanding detection coverage.
Data Source
AI summary
An estimation method includes acquiring sensor information acquired by a sensor mounted on a first vehicle belonging to a vehicle line, acquiring position information on a location of the first vehicle, and estimating a cause of the vehicle line by using the sensor information and the position information. The estimating of the cause includes estimating the cause by using information on a facility or a feature present near the first vehicle, information indicating a state of the first vehicle, information on an object present ahead of the first vehicle included in the sensor information, or information on a road that affects traveling. The information on the facility or the feature is searched based on the position information, the information on the object is estimated based on the sensor information, and the information on the road is searched based on the position information.