Multi-Sensor Road Information Server for Blind-Spot Detection
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Solution Overview
Problem
Existing methods struggle to efficiently notify mobile objects of information about surrounding obstacles while maintaining detection accuracy, leading to increased communication load and protocol overhead.
Innovation Solution
An information provision server that aggregates data from multiple sensors to determine and create secondary information, which is then efficiently transmitted to mobile objects, enhancing detection accuracy and reducing communication load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual cameras independently supply information to vehicles, then detection coverage is improved, but communication load and protocol overhead increase
Solution Approach 1:
Multiple cameras are merged into a virtual camera system that collectively covers blind spots. Instead of each camera independently communicating with vehicles, the combined detection results from multiple cameras are aggregated and transmitted as unified information, reducing communication overhead while maintaining comprehensive detection coverage
Solution Approach 2:
A server acts as an intermediary between multiple cameras and vehicles. The server receives detection data from individual cameras, processes and integrates the information to determine blind spot conditions, then transmits the processed results to vehicles. This intermediary approach reduces the communication burden on individual cameras and optimizes data transmission efficiency
2Measurement precision
If multiple sensors are used to detect surrounding mobile objects, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses multiple sensors with different detection capabilities (cameras, radar, lidar) that serve universal purposes for detecting various types of mobile objects. Each sensor type contributes to the overall detection function, allowing the system to maintain high detection accuracy across different scenarios without requiring specialized complex systems for each sensor type
Solution Approach 2:
The server acts as a central intermediary that manages and integrates data from multiple diverse sensors. It standardizes the processing of detection data from different sensor types, unifies the detection results, and presents comprehensive information to vehicles. This intermediary approach simplifies the complexity that would otherwise arise from directly integrating multiple heterogeneous sensors in each vehicle
Data Source
AI summary
An information provision server includes: an determination part for determining, based on primary information acquired from an individual one of a plurality of sensors, each of which senses a predetermined range of a road, whether or not to provide secondary information created by using the primary information acquired from the plurality of sensors to a first mobile object running on the road; an information creation part for creating, if the determination part determines to provide the secondary information to the first mobile object, the secondary information by using the primary information acquired from the plurality of sensors; and a transmission part for transmitting the secondary information to the first mobile object.