Vehicle Cant Estimation Using Multi-Vehicle Data Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies are inadequate in accurately estimating the cant state of a traveling road for multiple vehicles, particularly for vehicles traveling on a road for the first time, and do not generate usable cant information.
Innovation Solution
A method and apparatus that acquire and process vehicle information such as speeds, lateral accelerations, steering angles, and yaw rates from multiple vehicles to estimate the cant of the road, using low-pass filtering to eliminate disturbances, and store the estimated cant in a database for use by all vehicles, allowing for accurate cant angle calculation and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle control apparatus learns cant state based on teacher signal, then cant estimation is improved for vehicles that have traveled before, but accuracy for first-time travelers on the same road deteriorates
Solution Approach 1:
The patent combines vehicle information from multiple vehicles traveling on the same road to collectively estimate the cant state. By merging data from different vehicles, the system builds a shared cant angle database that benefits all vehicles, including first-time travelers, thereby resolving the contradiction between improving estimation accuracy and ensuring information availability.
Solution Approach 2:
The patent introduces a server as an intermediary that collects, processes, and stores cant angle information from multiple vehicles. This mediator aggregates data across the vehicle fleet and makes it available to all vehicles, enabling first-time travelers to access cant information without needing to learn it themselves, thus resolving the information availability problem.
2Adaptability or versatility
If cant information is stored in database for multiple vehicles, then information sharing is improved, but data processing complexity and storage requirements increase
Solution Approach 1:
The patent creates a universal cant angle database that serves multiple vehicles simultaneously. The database stores cant angle information that can be reused by any vehicle traveling on the same road, eliminating the need for each vehicle to independently process and store the same information, thereby reducing overall system complexity while improving information sharing.
Solution Approach 2:
The patent uses copying by storing cant angle information once in a centralized database and allowing multiple vehicles to access and use this copied information. Instead of each vehicle maintaining its own cant data, the system creates a single source of truth that can be efficiently replicated and distributed, reducing data processing complexity while enabling widespread information sharing.
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
This approach enables high-accuracy generation and sharing of cant information among vehicles, enhancing road travel by improving vehicle path stability and enabling smooth autonomous driving and steering control.
Implementation Method 1
The vehicle information may be processed through low-pass filtering before a step of estimating the cant of the travelling road of the first vehicle
Data Source
AI summary
A cant estimating method of estimating a cant of a travelling road of a vehicle includes a step of acquiring vehicle information including information on a speed, a lateral acceleration, a steering angle, a yaw rate, and a position of each of a plurality of vehicles including a first vehicle, a step of estimating a cant of a travelling road of the first vehicle based on the vehicle information, and a step of storing the estimated cant, in association with information on the position of the first vehicle, in a cant angle database usable by the plurality of vehicles.