Driver Assistance Control for Predicting Preceding Vehicle Spin
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Solution Overview
Problem
Existing vehicle control systems and travel locus prediction techniques do not effectively predict the spinning of preceding vehicles, which can lead to increased collision risks and damage.
Innovation Solution
A driver assistance apparatus that calculates the vehicle speed and momentum of a preceding vehicle and estimates the slip angle or slip angular speed of its rear wheel using detection data from surrounding environment sensors, allowing for the prediction of spinning and subsequent risk avoidance measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle control systems use existing detection data and prediction methods, then they can detect surrounding environment and predict travel locus, but they cannot predict spinning of preceding vehicles
Solution Approach 1:
The system performs preliminary calculation of vehicle speed and momentum, and preliminary estimation of slip angles before spinning occurs. By continuously monitoring and estimating slip angles in advance, the system can predict spinning behavior before it happens, enabling proactive safety interventions rather than reactive responses
Solution Approach 2:
The system introduces slip angle estimation as an intermediary parameter to bridge the gap between basic detection data and spinning prediction. By calculating slip angles from detection data and using them as an intermediate indicator, the system can infer spinning states that are not directly observable from standard sensors
2Loss of time
If the system calculates vehicle speed and momentum and estimates slip angles, then it can predict spinning in advance, but it requires additional processing complexity
Solution Approach 1:
The system performs all necessary calculations of vehicle speed, momentum, and slip angle estimation in advance, before spinning occurs. This preliminary processing enables the system to have prediction results ready when needed, reducing reaction time without requiring complex real-time computations during critical moments
Solution Approach 2:
The system continuously feeds back estimated slip angles and calculated momentum data to update predictions. This feedback mechanism allows the system to refine its spinning predictions over time using accumulating data, reducing the need for overly complex single-shot calculations
Data Source
AI summary
A driver assistance apparatus for a vehicle calculates a vehicle speed of a random vehicle present ahead of the vehicle, and momentum of a front part or a rear part of the random vehicle, on the basis of detection data by a surrounding environment sensor configured to detect data regarding surrounding environment around the vehicle, and estimate a slip angle or a slip angular speed of a rear wheel of the random vehicle, on the basis of data regarding at least the vehicle speed of the random vehicle and the momentum of the front part or the rear part of the random vehicle, and data regarding an estimated distance from the rear wheel of the random vehicle to the front part or the rear part of the random vehicle.