Roadside Server Driving Assistance Information Fusion
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Solution Overview
Problem
Current driving assistance systems, such as DSSS and ITS Connect, are limited in providing information about vehicles approaching from outside the detection range of roadside sensors, as they rely solely on sensor data from fixed locations with poor visibility, leading to incomplete information coverage at intersections.
Innovation Solution
A driving assistance system that includes a roadside server connected to roadside sensors, which generates driving assistance information by combining real-time sensing information from within the detection range with predicted position information of dynamic objects from wider areas, using probe data and considering communication delays, to provide a comprehensive view of surrounding vehicles and objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If roadside sensors are installed only at locations with poorest visibility, then low-delay information provision is achieved, but information coverage is incomplete
Solution Approach 1:
The patent combines two different information sources: real-time sensor data from roadside sensors (for low-delay information) and probe information from vehicles equipped with communication devices (for wide-area coverage). By merging these complementary data sources, the system achieves both low delay and comprehensive information coverage that neither source could provide alone.
Solution Approach 2:
The patent introduces a server as an intermediary that collects, processes, and integrates data from both roadside sensors and vehicle probe information. This intermediary component coordinates the fusion of heterogeneous data sources, managing the complexity of combining real-time sensor data with delayed probe information while maintaining overall system performance.
2Area of stationary object
If probe information with delays is used to expand detection range, then information provision range is widened, but measurement precision deteriorates
Solution Approach 1:
The patent performs preliminary position prediction by calculating expected future positions of vehicles based on their current velocity and direction data from probe information. This preliminary action allows the system to compensate for transmission and processing delays, providing more accurate position estimates that account for the time elapsed between data collection and delivery.
Solution Approach 2:
The patent transforms static position data from probe information into dynamic predictions by applying velocity and direction parameters. This parameter transformation converts historical position data into forward-looking position estimates, improving the temporal relevance and accuracy of the information despite delays in data transmission.
Data Source
AI summary
A driving assistance system includes a roadside server connected to a roadside sensor and a roadside device. The roadside server includes a sensor information processing unit, an assistance information generation unit, and a roadside device interface. Using information indicating a state in the detection range of the roadside sensor from the roadside sensor, the sensor information processing unit generates sensing information of a first dynamic object within the detection range. The assistance information generation unit generates driving assistance information by combining surrounding object information and the sensing information. The roadside device interface transmits the driving assistance information to the roadside device.