Driving Assistance Relative Position Judgment Using Neighbor Travel History
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driving assistance systems face challenges in accurately judging the relative positional relationship between mobile objects without using map information, leading to potential errors and increased costs due to the need for extensive data storage and processing delays.
Innovation Solution
A driving assistance device that acquires and utilizes object-of-interest and neighbor information to judge the relative positional relationship between mobile objects, employing a second neighboring object's traveling history to estimate positions and shapes of roads without relying on map data, using a processor and communication interface to process and transmit data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If map information is used to judge relative positional relationships, then positioning accuracy is improved, but system costs and processing complexity increase
Solution Approach 1:
The patent extracts and removes the dependency on map information from the positioning system. Instead of using pre-stored map data to determine road shapes and positions, the system extracts only the necessary positional relationships from neighboring vehicle data, eliminating the need for complex map storage and processing while maintaining positioning accuracy.
Solution Approach 2:
The patent uses traveling history data from neighboring vehicles as a substitute (copy) for map information. By collecting and analyzing the positional trajectories of multiple vehicles, the system reconstructs road geometry and relative positions without requiring actual map copies, thereby reducing system complexity while preserving measurement precision.
2Device complexity
If no map information is used to reduce costs, then system complexity is reduced, but the ability to estimate relative positions considering road shapes is lost
Solution Approach 1:
The patent implements a feedback mechanism where traveling history information from multiple neighboring vehicles is continuously collected and analyzed. This feedback loop allows the system to iteratively refine its estimation of road shapes and relative positions, compensating for the absence of map information and maintaining high positioning accuracy through cumulative data processing.
Solution Approach 2:
The patent makes the traveling history data serve multiple functions: it is used not only for determining relative positions but also for inferring road geometries, validating positioning data, and improving estimation accuracy. This multi-functional use of neighboring vehicle data replaces the multiple specialized components that would be needed in a map-based system.
3Productivity
If traveling history of only direct neighboring objects is used, then data processing is simplified, but positioning accuracy in complex environments deteriorates
Solution Approach 1:
The patent segments the neighboring vehicle data processing into hierarchical levels: direct neighboring objects are processed first for immediate positioning, then second neighboring objects (vehicles whose traveling histories overlap with direct neighbors) are incorporated to refine position judgments in complex environments. This segmented approach maintains processing efficiency while progressively improving accuracy.
Data Source
AI summary
A driving assistance device to properly recognize a relative positional relationship between mobile objects without the use of map information. The driving assistance device includes a relative position judgment section for judging a relative positional relationship of an object of interest and a first neighboring object relative to a second neighboring object, based on object-of-interest information and neighbor information, to make a judgment as a first judgment on a relative positional relationship between the object of interest and the first neighboring object, based on the aforementioned judgment result.