Traffic Flow Visualization via Sensor Overlay
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Solution Overview
Problem
Existing traffic flow measurement systems lack the capability to intuitively present changes in the state of moving bodies to users, making it difficult for users to grasp the dynamic traffic conditions effectively.
Innovation Solution
A traffic flow measurement system comprising a first sensor for 2D detection, a second sensor for 3D detection, a server device for traffic flow analysis, and a terminal device for displaying results. The system generates an object behavior image that visualizes time-series data and overlays it on a sensor image, allowing users to intuitively understand changes in moving body states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traffic flow analysis is performed using sensors such as cameras and lidars to acquire detailed and accurate information about moving bodies and road components, then measurement precision and information quality are improved, but the ability to intuitively present changes in state to users deteriorates
Solution Approach 1:
The patent creates a virtual copy of the real-world traffic scene by mapping sensor data (camera images and lidar point clouds) to generate a virtual 3D space. This virtual representation includes virtual moving bodies that replicate the behavior and state of actual vehicles, allowing users to interact with and observe traffic flow dynamics in an intuitive virtual environment while maintaining measurement accuracy from the original sensors.
Solution Approach 2:
The patent introduces a visualization system as an intermediary between the raw sensor data and the user. This system includes a display device that presents traffic flow information in an intuitive format, such as visual representations of moving bodies with their trajectories, speeds, and other state parameters clearly displayed. The intermediary translates complex sensor data into easily interpretable visual forms without losing the precision of the original measurements.
2Measurement precision
If multiple sensors (camera and lidar) are used to acquire comprehensive traffic flow data, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges data from multiple sensors (camera and lidar) into a unified virtual 3D space representation. By integrating the 2D image data from the camera with the 3D point cloud data from the lidar, the system creates a comprehensive virtual model of the traffic scene. This merging approach maintains the measurement precision benefits of using multiple sensors while simplifying the user interface to a single unified visualization rather than requiring users to interpret separate sensor outputs.
Solution Approach 2:
The virtual 3D space representation serves multiple functions simultaneously: it visualizes the positions of moving bodies, displays their trajectories over time, shows speed and acceleration information, and provides a realistic 3D environment for user interaction. This multi-functional approach consolidates what would otherwise require multiple separate display systems into a single universal interface.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to intuitively grasp changes in the state of moving bodies, such as position, velocity, and acceleration, while viewing sensor images, thereby improving the user's understanding of traffic flow dynamics.
Implementation Method 1
a first sensor configured to acquire a two-dimensional detection result of a measurement area of a traffic flow
Implementation Method 2
a second sensor configured to acquire a three-dimensional detection result of the measurement area
Data Source
AI summary
Provided is a traffic flow measurement system that enables a user to intuitively grasp changes in a state of a moving body while viewing a sensor image as a detection result of a measurement area acquired by a sensor when a result of a traffic flow analysis operation is presented to the user. A traffic flow measurement server generates, based on a result of traffic flow analysis, an object behavior image (path line, velocity line, and acceleration line) that visualizes time-series data indicating changes in a state (position, velocity, and acceleration) of a moving body, generates a time series indication screen in which the object behavior image is overlaid on a sensor image (camera image, lidar intensity image, and lidar point cloud image) based on the detection result of each sensor, and causes a user terminal to display the time series indication screen.