Vector-Based Driver Assistance for Towing Vehicle Jack-Knife Detection
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Solution Overview
Problem
Drivers face challenges in detecting undesirable situations such as jack-knife conditions when towing a trailer, as existing systems fail to effectively monitor and alert them to potential hazards during back-up maneuvers.
Innovation Solution
A driver-assistance system that uses vector-based monitoring techniques to compare the velocity vectors of the towing vehicle and trailer, determining if a jack-knife condition is imminent and generating a warning signal based on differences in these vectors, which are calculated using steering angle, movement data, and camera image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a driver manually monitors the trailer during back-up maneuvers, then the driver can detect potential jack-knife conditions, but the driver's ability to detect these conditions is insufficient and delayed
Solution Approach 1:
The patent replaces manual mechanical monitoring by the driver with an automated electronic monitoring system that uses sensors, processors, and algorithms to detect jack-knife conditions. The system calculates velocity vectors, compares trailer position to desired path, and automatically generates warnings, eliminating the limitations of human detection capability and response time.
Solution Approach 2:
The patent introduces an intermediary warning system that acts as a mediator between the driver and the complex physical state of the trailer-vehicle combination. The system processes multiple sensor inputs and provides simplified, actionable warning signals to the driver, making the detection process both more accurate and timely while reducing driver cognitive load.
2Reliability
If a vector-based monitoring system is implemented to detect jack-knife conditions, then detection accuracy improves, but the system complexity increases
Solution Approach 1:
The patent segments the complex monitoring task into distinct functional modules: sensor data acquisition, velocity vector calculation, trailer position determination, desired path calculation, comparison logic, and warning generation. This modular segmentation makes the overall system more manageable and easier to implement despite the sophisticated calculations required.
Data Source
AI summary
Systems and methods are described for monitoring movement of a trailer relative to the towing vehicle and providing driver-assistance information to the driver of the towing vehicle. The system determines a velocity vector for the host vehicle at a location near a rear of the host vehicle at a defined lateral distance from a trailer hitch installed on the host vehicle. The system also determines a velocity vector for the trailer at a corresponding location on the trailer—that is a location on the front of the trailer at approximately the same defined lateral distance from the trailer hitch. The system compares the velocity vector for the host vehicle to the velocity vector for the trailer and determines, based on the comparison, whether a jack-knife condition is likely to occur. If a jack-knife condition is likely to occur, the system generates a warning signal.