Driving Assistance Device Multi-Vehicle Collision Avoidance
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Solution Overview
Problem
Conventional driving assistance systems fail to provide appropriate assistance between vehicles that may collide, as they only consider the driving characteristics of the host vehicle, neglecting the characteristics of the other vehicle involved in the potential collision.
Innovation Solution
A driving assistance device and method that includes a driving situation acquisition unit, a driving characteristics acquisition unit, a driving action determination unit, and a driving action instruction unit, which together assess the driving situations and characteristics of both vehicles to determine and instruct appropriate actions to avoid collisions, taking into account the unique characteristics of each driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driving assistance is determined considering only the host vehicle's driving characteristics, then the system complexity remains low, but the appropriateness of driving assistance for multi-vehicle collision avoidance deteriorates
Solution Approach 1:
The system segments the driving assistance problem by separately acquiring driving characteristics of the host vehicle and other vehicles involved in potential collision, then determining driving actions for each vehicle independently based on their respective characteristics. This segmentation allows the system to handle multi-vehicle scenarios without requiring a completely new complex framework.
Solution Approach 2:
The driving assistance determination unit is designed to handle multiple vehicles universally by accepting driving characteristics from any number of vehicles and generating appropriate driving actions for each. The system maintains a universal approach that works for single-vehicle and multi-vehicle scenarios without requiring separate specialized systems.
2Reliability
If driving assistance considers driving characteristics of multiple vehicles, then the appropriateness of collision avoidance improves, but the information processing requirements increase
Solution Approach 1:
The system extracts only the essential driving characteristics information from multiple vehicles that are relevant for collision avoidance, rather than processing all possible vehicle data. By taking out and focusing on key characteristics such as driving style, response patterns, and operational preferences, the system reduces information processing load while maintaining effectiveness.
3Manufacturing precision
If driving actions are determined based on multiple driving characteristics, then the precision of action matching improves, but the determination complexity increases
Solution Approach 1:
The system applies local quality by tailoring driving actions to match the specific driving characteristics of each individual vehicle and driver combination. Rather than applying a uniform approach, the determination unit adjusts actions locally for each vehicle based on its acquired characteristics, achieving precise matching without requiring overly complex centralized control.
Data Source
AI summary
A driving assistance device includes a driving situation acquisition unit that acquires driving situations of vehicles that may collide with each other, a driving characteristics acquisition unit that acquires driving characteristics of drivers of the vehicles, a driving action determination unit that determines driving actions that allow the vehicles to avoid collision with each other in the driving situation acquired by the driving situation acquisition unit and that match the driving characteristics acquired by the driving characteristics acquisition unit, and a driving action instruction unit that instructs the vehicles about the driving actions determined by the driving action determination unit.