Vehicle Sound Sensor Carriageway Detection Cloud Network
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Solution Overview
Problem
Existing systems for detecting and evaluating carriageway conditions using sound sensors only allow for local evaluation, preventing the sharing of data with other devices or road users, and lack a method to determine if a vehicle has left its intended path.
Innovation Solution
Implementing structure-borne sound sensors on vehicles to detect and transmit carriageway conditions to a cloud-based network, allowing for comparison with stored data to determine if the vehicle has departed from its lane, and utilizing this information to trigger warnings or lane-keeping assistance systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sound sensors are used to detect carriageway conditions locally, then the detection capability is improved, but the data cannot be shared with other road users and devices
Solution Approach 1:
A cloud-based computing service acts as an intermediary between vehicles and road users. The service receives sound sensor data from vehicles, processes it to determine carriageway conditions, and makes this information available to other road users and devices through the network, enabling data sharing without requiring direct sensor connections between all participants
Solution Approach 2:
The patent combines individual vehicle sensor data with a networked information system. Multiple vehicles' sound sensor measurements are merged into a centralized cloud service that creates a comprehensive view of carriageway conditions, which is then distributed back to the network for benefitting all connected users
2Measurement precision
If each road user possesses sensor systems for sensing carriageway condition, then the detection capability is improved, but the system complexity and cost increase
Solution Approach 1:
The cloud-based computing service provides a universal platform that serves multiple functions: collecting data from any vehicle with sound sensors, processing this data to determine carriageway conditions, storing this information associatively with vehicle positions, and distributing it to any road user or device. This multi-functional service reduces the need for each individual road user to implement complex sensor and processing systems
Solution Approach 2:
Vehicles equipped with sound sensors automatically contribute their measurements to the cloud service, which then provides the processed carriageway condition information back to the network. The system serves itself by utilizing the distributed sensors already present in vehicles, eliminating the need for dedicated sensing infrastructure along the carriageway
3Measurement precision
If carriageway condition data is stored associatively with vehicle positions, then the information accuracy is improved, but the data processing and transmission complexity increases
Solution Approach 1:
The cloud-based computing service performs preliminary processing of sound sensor data by determining carriageway conditions and associating them with vehicle positions before distribution. This preliminary organization of data into meaningful associations reduces the complexity of subsequent data retrieval and usage by road users, as the data is already structured and ready for consumption
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
Enables the sharing of carriageway condition data with other vehicles and road users, improving safety by alerting drivers to potential lane departures and providing real-time updates for maintenance, while aiding autonomous vehicles in dynamic handling.
Implementation Method 1
structure-borne sound sensors may be arranged on a vehicle so as to be connected with the external shell of the vehicle in a way that enables transmission of mechanical vibration
Implementation Method 2
the structure-borne sound sensors may be arranged in the wheel arches and may have the form of piezoelectric elements, for example
Data Source
AI summary
A method for detecting and processing the carriageway condition of a carriageway on which a vehicle is driven, by means of at least one noise sensor provided on the vehicle, in particular by means of at least one mechanical vibration sensor, wherein noise signals travelling through the vehicle are sensed by a noise sensor and conclusions as to the carriageway condition are drawn from the sensed noise signals. According to said method, the section of route on which the vehicle is currently being driven is determined, the determined carriageway condition is assigned to the section of route, said section of route and the carriageway condition that has been determined and assigned to the section of route are transmitted to a computer network, in particular to a cloud-based computing service, and the information relating to the carriageway condition assigned to a section of route is made available via the computer network.