Lane Change Detection Using Heading Stability Sequences
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Solution Overview
Problem
In vehicle fleet operations, particularly in industries like ready-mixed concrete, monitoring driver safety is challenging due to varying vehicle types and conditions, such as higher rollover risks in concrete mixer trucks, where right turns are more hazardous due to the shifting center of gravity, necessitating differentiated safety assessments for left and right turns and loaded vs. unloaded states.
Innovation Solution
Implementing a system that collects and processes driving data using GPS, drum speed sensors, and liquid level sensors to calculate individual maneuver scores and weighted composite scores for vehicles, distinguishing between right and left turns, and loaded and unloaded conditions, and generating safety reports to identify unsafe driving practices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single unified safety monitoring system is used for all vehicles, then device complexity is reduced, but measurement precision deteriorates because it cannot differentiate between vehicle-specific safety parameters such as right vs. left turns for mixer trucks or loaded vs. unloaded conditions
Solution Approach 1:
The patent segments the safety monitoring system into vehicle-specific configurations that can differentiate between various vehicle types and their unique safety parameters. The system divides safety assessment into maneuver-specific categories (right turns, left turns, straight driving) and vehicle-condition-specific categories (loaded, unloaded, mixer drum rotation), allowing precise measurement of safety parameters for each segment rather than applying a single unified standard to all vehicles.
2Device complexity
If existing lane change detection technologies are used, then device complexity is minimized, but measurement precision deteriorates because they cannot accurately detect lane changes versus highway exits or differentiate stable from unstable headings
Solution Approach 1:
The patent applies dynamics by continuously monitoring heading changes over time and distinguishing between stable headings (indicating intentional lane changes) and unstable headings (indicating curve following or highway exits). The system dynamically adjusts its detection criteria based on the sequence of heading measurements, allowing accurate lane change detection without requiring complex additional sensors by intelligently processing temporal patterns in the heading data.
Data Source
AI summary
A method for detecting a lane change by a moving vehicle is disclosed. In one embodiment, it is detected that a first heading of a moving vehicle has met a parameter defining a stable heading. It is then detected that a second heading of the moving vehicle has subsequently met a parameter defining an unstable heading. It is then detected that a third heading of the moving vehicle has subsequently met a parameter defining a stable heading within a pre-determined time parameter and that the third heading equals the first heading within a pre-defined margin. An indication is then generated that the moving vehicle has performed a lane change.