Vehicle Course Planning with Position Error Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current automatic driving systems face challenges in accurately sensing and predicting the movement of other mobile bodies, leading to potential collisions, especially in environments with blocked satellite radio waves or adverse weather conditions, where position errors occur, affecting safe vehicle movement.
Innovation Solution
A mobility information provision system that collects and processes field information from multiple communication apparatuses to generate course-related information, allowing vehicles to safely navigate by mapping positions and movable ranges, including position errors, to prevent collisions and ensure safe travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If satellite-based positioning is used for vehicle navigation, then global coverage and continuous operation are improved, but positioning accuracy deteriorates in environments with blocked satellite radio waves such as tunnels or dense urban areas
Solution Approach 1:
The patent introduces communication apparatuses (base stations) as intermediary devices to establish alternative positioning methods. When satellite signals are blocked, the system uses radio wave communication with ground-based base stations to determine vehicle position, thereby maintaining continuous operation while resolving the positioning accuracy problem in signal-blocked environments
Solution Approach 2:
The system dynamically changes positioning parameters by switching between satellite-based positioning and communication-apparatus-based positioning depending on the environment. This parameter change allows the system to maintain both continuous operation capability and positioning accuracy across different operating conditions
2Device complexity
If individual vehicles independently sense and predict movement of other mobile bodies, then system complexity is reduced, but collision avoidance capability deteriorates due to inaccurate sensing and prediction
Solution Approach 1:
The patent merges sensing and prediction functions from multiple individual vehicles into a centralized server system. The server collects field information from multiple communication apparatuses and generates accurate course-related information for multiple mobile bodies, thereby improving collision avoidance capability while distributing computational complexity across the network
Solution Approach 2:
The system implements feedback by continuously collecting field information from multiple sources, updating positions of mobile bodies, and regenerating course-related information. This continuous feedback loop enables accurate real-time collision avoidance while sharing the computational burden across the network infrastructure
3Device complexity
If position errors are not considered in course planning, then computational simplicity is improved, but safety deteriorates due to inaccurate position data affecting movement control
Solution Approach 1:
The patent applies preliminary action by determining position errors in advance and incorporating them into the course-related information generation process. The server calculates position errors based on collected field information and uses these errors to generate safety margins in the planned courses, thereby ensuring safety while maintaining computational efficiency through pre-calculated error compensation
Solution Approach 2:
The system applies beforehand cushioning by adding safety margins to courses based on predetermined position errors. This cushioning approach compensates for potential positioning inaccuracies in advance, ensuring that even when position data is imperfect, the generated courses maintain adequate safety margins without requiring complex real-time corrections
Data Source
AI summary
A mobility information provision system includes a collector, a mapping unit, a generator, and a controller. The collector collects information about movement of mobile bodies. The mapping unit maps positions of the mobile bodies on the basis of the information collected by the collector. The generator generates course-related information by using information including the positions of the mobile bodies mapped by the mapping unit. The controller controls movement of each of the mobile bodies on the basis of the generated course-related information. The mapping unit maps a position error of a first mobile body together with a position of the first mobile body, in a case of determining that the position error occurs on the basis of the information collected by the collector. The generator generates the course-related information that allows the first mobile body to move within a range including the position and the position error thereof.