Collaborative Unsafe Driving Detection Across Interrupted Vehicle Handoffs
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Solution Overview
Problem
Existing unsafe driving detection technologies face interruptions due to events like changes in positional relationships between vehicles or sensor occlusions, leading to incomplete data analysis and delayed detection of unsafe driving behaviors.
Innovation Solution
The method involves a first vehicle collecting and processing driving behavior data from a subject vehicle, and upon an interrupting event, transferring the processed data to a second detecting entity, such as another vehicle or roadside infrastructure, to facilitate early and continuous unsafe driving detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single vehicle collects and analyzes driving behavior data continuously, then detection accuracy improves, but detection reliability deteriorates when the vehicle is interrupted by events like positional changes or sensor occlusions
Solution Approach 1:
The patent combines multiple detecting entities (vehicles and roadside infrastructure) into a collaborative detection network. When one entity is interrupted, others continue collecting and analyzing data, ensuring continuous and reliable unsafe driving behavior detection without sacrificing accuracy.
Solution Approach 2:
The system pre-establishes a network of multiple detecting entities positioned at strategic locations. This preliminary arrangement ensures that if one detector is interrupted, others are already in position to take over, maintaining detection reliability without interrupting the monitoring process.
2Device complexity
If data collection is interrupted by events like positional relationship changes, then device complexity reduces, but loss of information increases
Solution Approach 1:
The patent ensures continuous data collection by distributing the detection function across multiple entities. When one vehicle's data collection is interrupted by positional changes or occlusions, other entities continue collecting data, eliminating gaps and information loss without requiring complex interruption-handling mechanisms.
Solution Approach 2:
The system introduces a data sharing and coordination mechanism that acts as an intermediary between multiple detecting entities. This mediator facilitates seamless data transfer and handoff when interruptions occur, preserving data completeness without adding significant complexity to individual devices.
3Reliability
If multiple detecting entities are deployed to ensure continuous detection, then detection reliability improves, but device complexity increases
Solution Approach 1:
The patent segments the detection function across multiple independent entities (vehicles and roadside infrastructure), each performing the same core detection task. This segmentation improves reliability through redundancy while keeping individual device complexity low, as each entity uses standard sensors and processing capabilities.
Solution Approach 2:
The system designs detecting entities with universal capabilities that can function independently or in coordination with others. Each vehicle and roadside infrastructure unit can perform complete unsafe driving detection on its own, but when combined, they provide enhanced reliability without requiring complex specialized components in each unit.
Data Source
AI summary
Systems and methods of unsafe driving detection are provided. Such systems and methods can share partial unsafe driving behavior analyses with others to increase accuracy and speed for unsafe driving detection. For example, in response to an event which interrupts a first vehicle from collecting additional driving behavior data associated with a subject vehicle, the first 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.