Large Vehicle Approach Warning Device for Cross-Wind Stability
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Solution Overview
Problem
Drivers face challenges in maintaining vehicle stability when large vehicles, such as trucks or buses, overtake at high speeds, causing cross winds that can lead to vehicle instability, especially if the driver is not gripping the steering wheel.
Innovation Solution
A warning device equipped with an image sensing unit, speed/distance detection unit, steering wheel gripping torque detection unit, and a controller that outputs a warning message when a large vehicle is approaching from the rear and the driver is not gripping the steering wheel, using a combination of image data, sensing data, and steering wheel torque information to determine the need for a warning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a warning device is activated to alert drivers of approaching large vehicles, then driver awareness and vehicle stability are improved, but device complexity and false warnings increase
Solution Approach 1:
The system divides the detection task into multiple specialized sensors: image sensing unit for vehicle identification, speed/distance detection unit for motion parameters, and steering wheel gripping torque detection unit for driver status. Each sensor handles a specific aspect of the problem, reducing the complexity of any single component while improving overall reliability.
Solution Approach 2:
The controller acts as an intermediary that integrates data from multiple sensors and applies logical conditions to determine when warnings should be issued. It mediates between the raw sensor data and the warning output, filtering out false positives by checking multiple conditions simultaneously (large vehicle detection, high speed approach, driver not gripping steering wheel).
2Measurement precision
If multiple sensors are used to accurately detect large vehicle approach, then detection precision is improved, but device complexity increases
Solution Approach 1:
The detection system is segmented into specialized sensors: image sensing unit for visual identification of large vehicles, speed/distance detection unit for motion parameters, and steering wheel gripping torque detection unit for driver status. Each sensor handles a specific detection task, improving measurement precision while distributing complexity across multiple simple components.
Solution Approach 2:
The controller integrates multiple detection functions into a single control unit that processes data from image sensors, speed/distance sensors, and steering wheel torque sensors. This multi-functional approach consolidates complexity into a single processing unit that can handle various detection tasks through software logic rather than requiring separate dedicated hardware for each function.
3Reliability
If warnings are issued for all approaching vehicles, then driver safety is improved, but loss of information increases due to unnecessary warnings
Solution Approach 1:
The warning system dynamically adjusts its behavior based on real-time conditions detected by multiple sensors. It issues warnings only when specific conditions are met: a large vehicle is detected, it is approaching at high speed, and the driver is not gripping the steering wheel. This dynamic condition-based approach filters out unnecessary warnings while maintaining safety alerts, preserving the credibility of warning signals.
Solution Approach 2:
The system continuously monitors multiple parameters (vehicle type, speed, distance, driver steering wheel grip) and uses this feedback to determine whether a warning should be issued. The feedback loop ensures that warnings are only generated when genuinely necessary, maintaining driver trust in the warning system by eliminating false positives from small vehicles or low-speed approaches.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively alerts drivers to grip the steering wheel when a large vehicle is approaching from the rear, enhancing vehicle stability and reducing unnecessary warnings by distinguishing between large and small vehicles and the driver's grip status.
Implementation Method 1
an image sensor to be disposed on the vehicle so as to have a view to the outside of the vehicle and capture image data
Implementation Method 2
a radar sensor, a lidar sensor, and an ultrasonic sensor
Implementation Method 3
a radar sensor, a lidar sensor, and an ultrasonic sensor
Implementation Method 4
a radar sensor, a lidar sensor, and an ultrasonic sensor
Data Source
AI summary
The present embodiments relate to a large vehicle approach warning device and a method for controlling the same for enabling the driver to cope with the instability of the vehicle due to a cross wind generated by a large vehicle approaching a host vehicle, by outputting an warning message when the driver is not griping the steering wheel in a situation where the vehicle is approaching the host vehicle at a high speed in the rear side.