Vehicle Travel Control for Predicting Obstacle Motion Near Adjacent Traffic
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Solution Overview
Problem
Existing vehicle traveling control systems struggle to accurately predict the movement state of obstacles, leading to inappropriate or excessive emergency avoidance controls, which can cause driver discomfort and increase collision risks.
Innovation Solution
A vehicle traveling control apparatus that includes a surrounding environment recognition device and a traveling control unit, capable of detecting and estimating the movement amount of an obstacle due to the effects of multiple vehicles, allowing for more accurate obstacle avoidance control by calculating the estimated movement based on the detected movement of preceding vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If emergency avoidance control is performed based on simple obstacle detection, then response speed is improved, but control accuracy deteriorates leading to inappropriate or excessive maneuvers
Solution Approach 1:
The system performs preliminary detection of multiple other vehicles in adjacent lanes before the obstacle is actually moved by them. By identifying the presence and position of these vehicles in advance, the system can predict their future aerodynamic effects on the obstacle, allowing for more accurate movement prediction while maintaining rapid response capability.
Solution Approach 2:
The system extends detection beyond the immediate obstacle to include multiple other vehicles in adjacent lanes as an additional dimension of information. This multi-vehicle detection approach provides more comprehensive data for predicting obstacle movement, improving accuracy without sacrificing response speed since all detections occur simultaneously.
2Measurement precision
If multiple sensing devices are used to improve obstacle detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The surrounding environment recognition device performs multiple functions: detecting obstacles, detecting other vehicles in adjacent lanes, and providing spatial information for prediction calculations. By making this single device multi-functional, the system achieves high measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The system combines obstacle detection and other vehicle detection into a unified recognition process. Rather than using separate dedicated sensors for each function, the system integrates these detection capabilities, reducing overall system complexity while maintaining or improving measurement precision through combined information.
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
Enhances the accuracy of obstacle avoidance control, reducing the likelihood of inappropriate or excessive emergency maneuvers and minimizing collision risks by predicting the movement of obstacles with high precision.
Implementation Method 1
detect a movement amount of the obstacle that is moved due to an effect of a first other vehicle among the multiple other vehicles
Data Source
AI summary
A surrounding environment around a vehicle is recognized and surrounding environment information is acquired. Traveling control is performed on the vehicle based on the acquired surrounding environment information. When an obstacle expected to hinder traveling of the vehicle is recognized ahead of the vehicle and other vehicles traveling ahead of the vehicle are recognized in an adjacent lane adjacent to a traveling lane where the vehicle is traveling, a movement amount of the obstacle moved due to an effect of a first other vehicle among the other vehicles that travels at a position near the obstacle is detected. An estimated movement amount of the obstacle moved due to an effect of a second other vehicle among the other vehicles that follows the first other vehicle is calculated based on the detected movement amount. The traveling control is performed on the vehicle based on the estimated movement amount.