Combination Driving Event Detection for Context-Aware Vehicle Alerts
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Solution Overview
Problem
Existing vehicle monitoring systems lack context awareness, leading to ineffective detection and reporting of unsafe driving behaviors, which can result in accidents, increased insurance costs, and inefficient driving practices.
Innovation Solution
A computer-implemented method and system that detects combination driving events by identifying two distinct driving events occurring within a predetermined time interval, modifying a report to include an indication of the second event, and generating alerts or reports based on these combinations to improve safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-event detection systems are used, then the system complexity is low, but the measurement precision and context awareness of driving events are insufficient
Solution Approach 1:
The patent combines multiple driving events from different classes (e.g., accelerator press event and brake press event) into a unified combination event detection system. The computer system integrates data from multiple sensors and event types, analyzing their temporal relationships within predetermined time intervals to detect combination events that indicate unsafe driving behaviors, thereby improving detection accuracy while managing system complexity through structured event classification.
Solution Approach 2:
The patent adds a temporal dimension to event detection by analyzing events within predetermined time intervals. Instead of detecting isolated events, the system evaluates the timing and sequence of multiple events (e.g., accelerator press followed by brake press within a specific time window), transforming single-event detection into multi-dimensional combination event analysis that provides deeper contextual understanding.
2Loss of information
If all detected driving events are reported, then the quantity of information is high, but the loss of time for processing and transmitting data increases
Solution Approach 1:
The patent applies different reporting rules to different types of events based on their significance. Combination events that indicate unsafe driving behaviors (e.g., accelerator press followed by brake press) are prioritized for immediate reporting, while isolated minor events may be aggregated or reported with lower priority. This selective reporting approach maintains information completeness for critical events while reducing processing time for less significant data.
Solution Approach 2:
The system extracts and prioritizes only the most critical combination events for immediate reporting. By identifying specific event patterns that indicate unsafe driving (such as rapid acceleration followed by braking), the system separates high-priority events from routine events, extracting only the essential information that requires urgent attention and transmission.
3Reliability
If context-aware combination event detection is implemented, then the reliability of safety monitoring is improved, but the device complexity increases
Solution Approach 1:
The patent segments driving events into distinct classes (accelerator events, brake events, steering events, etc.) and establishes specific combination rules for each class. The computer system processes events in organized groups, evaluating predetermined combinations within defined time intervals. This segmentation approach improves safety monitoring reliability by systematically analyzing relevant event patterns while managing complexity through structured classification and rule-based processing.
Data Source
AI summary
Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle. Combinations of co-occurring driving events may be detected and used to warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.