Road User Categorization Using Lane Offset History
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Solution Overview
Problem
Autonomous vehicles face challenges in safely traversing vehicle transportation networks due to atypical or non-normal driving behaviors of other road users, which can lead to increased risk of accidents.
Innovation Solution
A method and apparatus for categorizing driving behaviors of other road users by maintaining a history of lateral-offset values, determining patterns based on this history, and autonomously performing driving maneuvers to avoid potential risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles monitor and analyze lateral-offset values of road users to detect atypical driving behaviors, then safety and accident risk reduction are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system segments the monitoring task by focusing specifically on lateral-offset values rather than analyzing all possible driving parameters. This segmentation allows the system to detect atypical driving behaviors through a targeted analysis of lane position deviations, reducing overall system complexity while maintaining safety improvements
Solution Approach 2:
The system performs preliminary action by maintaining a history of lateral-offset values and detecting patterns before actual dangerous situations occur. This proactive approach allows the system to identify atypical driving behaviors early and prepare appropriate responses, improving safety without requiring complex real-time analysis during critical moments
2Measurement precision
If the system maintains a history of lateral-offset values for pattern recognition, then detection accuracy of atypical behaviors is improved, but data storage requirements and processing time increase
Solution Approach 1:
The system applies partial action by maintaining history data for a predetermined period rather than indefinitely. This approach provides sufficient data for accurate pattern recognition of atypical driving behaviors while avoiding the excessive data storage and processing time that would result from maintaining unlimited historical records
Data Source
AI summary
Categorizing driving behaviors of other road users includes maintaining a first history of first lateral-offset values of a road user with respect to a center line of a lane of a road; determining a first pattern based on the first history of the first lateral-offset values; determining a driving behavior of the road user based on the first pattern; and autonomously performing, by a host vehicle, a driving maneuver based on the driving behavior of the road user. The first history can be maintained for a predetermined period of time. An apparatus includes a processor that is configured to track a trajectory history of a road user; determine, based on the trajectory history, a driving behavior of the road user; and transmit a notification of the driving behavior.