Collaborative Unsafe Driving Detection Using Shared Partial Analysis
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Solution Overview
Problem
Existing unsafe driving detection technologies often fail to share partial unsafe driving analysis, leading to delayed detection when a change in positional relationship or sensor interruptions occurs, which can result in delayed remedial actions and increased risk in hazardous situations.
Innovation Solution
The method involves an electronic control unit (ECU) in a detecting vehicle collecting and processing driving behavior data, and transferring it to another detecting entity when interruptions occur, allowing the second entity to leverage the partial analysis for early detection of unsafe driving behavior, thereby reducing the time to determine if a subject vehicle is driving unsafely.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single detecting vehicle collects and analyzes driving behavior data, then the detection process is simple and device complexity is low, but detection reliability is reduced when positional relationship changes or sensor interruptions occur
Solution Approach 1:
The patent combines multiple detecting vehicles into a collaborative detection system where each vehicle contributes its observations about the subject vehicle. The ECUs exchange and integrate driving behavior data from multiple sources, creating a more reliable detection system that overcomes the limitations of single-vehicle detection when positional relationships change or sensors are interrupted.
Solution Approach 2:
The system performs preliminary data collection and processing by multiple detecting vehicles before a conclusive unsafe driving determination is needed. Each vehicle continuously monitors and pre-processes driving behavior data, so when interruption occurs, the accumulated data from multiple vehicles can be combined to maintain detection reliability without restarting the analysis from scratch.
2Measurement precision
If driving behavior data is collected continuously by one vehicle, then measurement completeness is high, but loss of time occurs when the vehicle's positional relationship changes and data collection is interrupted
Solution Approach 1:
The patent merges data collection efforts from multiple detecting vehicles observing the same subject vehicle. When one vehicle experiences positional relationship changes or sensor interruptions, other vehicles continue collecting data, ensuring measurement completeness is maintained across the network while preventing detection delays.
Solution Approach 2:
The ECU acts as an intermediary that receives, stores, and transfers driving behavior data between detecting vehicles. When data collection is interrupted by positional changes, the intermediary ECUs facilitate data exchange and continuity, allowing the system to maintain complete measurements without time loss by coordinating observations from multiple vehicles.
3Productivity
If partial unsafe driving analysis is not shared between detecting entities, then device complexity and data processing load are reduced, but productivity of unsafe driving detection is decreased
Solution Approach 1:
The patent extracts and transfers only the essential processed driving behavior data and partial analysis results between detecting entities, rather than transferring all raw sensor data. This selective data extraction reduces the complexity of data transfer while enabling faster detection productivity by allowing second detecting entities to leverage existing analysis without processing redundant information.
Solution Approach 2:
Detecting entities perform preliminary processing and analysis of driving behavior data before sharing it with other entities in the network. This preliminary action reduces the computational burden on receiving entities and accelerates the overall detection process, as second detecting vehicles can build upon pre-processed data rather than starting analysis from raw sensor inputs.
Data Source
AI summary
Systems and methods of unsafe driving detection are provided which share partial unsafe driving behavior analyses with others in order to ensure that unsafe driving behavior is detected as early as possible. For example, in response to an event which interrupts a first detecting vehicle from collecting additional driving behavior data associated with a subject vehicle, the first detecting vehicle may transfer driving behavior data it has already collected and processed, to another detecting entity (e.g., a second detecting vehicle) in observable range of the subject vehicle.