Vehicle Road Condition Detection via Cloud Networked Sensor Data
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Solution Overview
Problem
Existing lane assistance systems require complex additional sensor systems and do not effectively provide lane recommendations based on road surface conditions, which can impact driving comfort and safety.
Innovation Solution
A driver assistance method that detects the state of a route section and lane conditions using optical sensor systems and image processing, coupled with cloud computing to network vehicle data for a comprehensive map of road conditions, allowing for lane recommendations to be provided via a human-machine interface, such as displays or voice messages, without the need for additional sensors on every vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex additional sensor systems are used for lane detection and road condition monitoring, then measurement precision and reliability of road condition data improve, but device complexity and cost increase
Solution Approach 1:
The patent combines multiple functions (lane detection, road condition monitoring, navigation) into a single integrated system that uses existing vehicle sensors and communication infrastructure. By merging these functions, the system achieves comprehensive road condition awareness without requiring separate complex sensor systems for each function.
Solution Approach 2:
The system makes existing vehicle sensors and communication interfaces serve multiple purposes - using cameras and sensors originally designed for basic lane assistance also for detailed road surface condition detection, and utilizing standard communication interfaces for both navigation and road condition data transmission.
2Measurement precision
If comprehensive sensor systems are installed on every vehicle for individual road condition detection, then measurement precision improves, but device complexity and cost for each vehicle increase
Solution Approach 1:
The system divides the road condition monitoring task into segments: some vehicles equipped with sensors detect and transmit road condition data to a server, while other vehicles receive processed information from the server. This segmentation allows comprehensive coverage without requiring every vehicle to have full sensor capabilities.
Solution Approach 2:
A server acts as an intermediary between sensor-equipped vehicles and information-receiving vehicles. The server collects, processes, and distributes road condition data, eliminating the need for direct peer-to-peer sensor systems on all vehicles and reducing individual vehicle complexity.
3Reliability
If real-time road condition data is processed and transmitted to provide lane recommendations, then driving comfort and safety improve, but loss of time for data processing and transmission increases
Solution Approach 1:
The system performs preliminary processing of road condition data on the server side before transmission to vehicles. By pre-processing and organizing data in advance, the system reduces the time required for real-time decision-making at the vehicle level and ensures information is ready when needed.
Solution Approach 2:
The system establishes feedback loops where road condition data is continuously collected, processed, and transmitted back to vehicles for immediate action. This feedback mechanism ensures that driving recommendations are based on current conditions while minimizing delays through efficient data flow management.
Data Source
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AI summary
The driving assistance method involves detecting a condition of a track section (32) and traffic lanes (35,37,39,41) of the track section, where a traffic lane request (57) is discharged for the track section. The detected condition of the track section has a presence of pot holes, lane grooves, cart tracks, crushed stones or crushed rocks. The traffic lanes are assigned to the track section qualities. Independent claims are included for the following: (1) a computer program for executing a driving assistance method; (2) a driver assistance system for increasing the driving comfort for road users; and (3) a mobile sensor system for increasing the driving comfort for road users.