Vehicle Road Surface Recognition Using Sound and Driving Data
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Solution Overview
Problem
Existing road surface recognition systems face challenges in accurately identifying road surfaces, especially in conditions without rapid acceleration or deceleration, and require additional sensors, increasing production costs.
Innovation Solution
A road surface recognition apparatus that utilizes sound data from a sound detector and driving data from a driving information detector to recognize road surfaces, employing feature vectors and classifiers, including support vector machines and deep neural networks, to classify road surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If road surface recognition is based on dynamic data (wheel speed, engine torque, vehicle speed) and slip phenomenon, then the system can determine high friction or low friction road surfaces, but it fails to recognize road surfaces when driving without rapid acceleration or deceleration
Solution Approach 1:
The patent combines sound data from microphones with driving data (wheel speed, engine torque, vehicle speed) to create a comprehensive road surface recognition system. The sound data provides additional information about road surface characteristics that complements the dynamic data, enabling accurate recognition across various driving conditions including steady-state cruising where slip phenomenon is absent.
Solution Approach 2:
The patent introduces sound data as an intermediary element that mediates between the vehicle's dynamic state and road surface characteristics. By analyzing sounds generated during vehicle operation (engine noise, tire-road interaction sounds), the system can infer road surface type without relying solely on slip phenomenon, thus improving adaptability to different driving conditions.
2Measurement precision
If road directional ultrasonic sensors are installed to recognize road surfaces, then road surface recognition capability is improved, but production cost increases due to additional sensors
Solution Approach 1:
The patent makes existing sensors (microphones for noise cancellation, wheel speed sensors, engine torque sensors) serve multiple functions. These sensors originally designed for other purposes (noise cancellation, vehicle dynamics control) are now also used for road surface recognition, eliminating the need for dedicated road surface sensors and reducing production costs.
Solution Approach 2:
The system uses data already being collected by the vehicle's existing sensor network for multiple purposes. The microphones, wheel speed sensors, and engine torque sensors continuously collect data for their primary functions, and this same data is simultaneously processed for road surface recognition, making the system self-sufficient without requiring additional hardware investment.
3Measurement precision
If multiple sensors are added to improve road surface recognition accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges road surface recognition functionality with the vehicle's existing sensor system and control algorithms. By integrating sound data processing into the noise cancellation system and combining it with driving data processing, the patent achieves enhanced measurement precision without adding physical sensors or significantly increasing system complexity.
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
The system effectively recognizes road surfaces based on sound and driving data, improving the accuracy of road surface identification and reducing production costs by eliminating the need for additional sensors.
Implementation Method 1
obtain sound data for a sound generated on a road surface using a sound detector provided on a rear right side of a vehicle body
Data Source
AI summary
A vehicle having a road surface recognition apparatus, may perform obtaining, by a controller, sound data for a sound detected by a sound detector while driving; obtaining, by the controller, driving data for driving information detected by a driving information detector; recognizing, by the controller, a type of road surface based on the obtained sound data and the obtained driving data; and controlling, by the controller, a traction control system based on information related to the recognized type of the road surface.


