Integrated Driving Assistance System with Driver Profile Adaptation
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Solution Overview
Problem
Current driving assistance technologies in vehicles are not fully integrated or tailored to individual drivers, leading to underutilization and limited effectiveness in reducing human error-related accidents, which is the largest source of vehicle accidents.
Innovation Solution
A system that uses data collection and machine learning algorithms to determine optimal rear and sideview mirror settings, monitor driver attentiveness and impairment, and provide warnings through physical, audio, and visual alerts, integrating data from various sources such as eye tracking, LIDAR, and environmental conditions to enhance driver awareness and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple driving assistance technologies are integrated into a comprehensive system, then driver safety and awareness are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple driving assistance technologies including mirror adjustment systems, driver monitoring systems, collision avoidance systems, lane assist, and adaptive cruise control into a single integrated driving assistance system. This merging approach allows the system to function as a unified entity that improves overall driver safety while managing complexity through centralized architecture.
Solution Approach 2:
The integrated driving assistance system performs multiple functions simultaneously: adjusting mirrors based on driver position, monitoring driver attentiveness, detecting collisions, providing lane guidance, and controlling cruise settings. This multi-functionality approach allows a single system to address various safety concerns without requiring separate standalone systems for each function.
2Reliability
If driving assistance systems are customized to individual driver profiles, then effectiveness in reducing human error is improved, but device complexity increases
Solution Approach 1:
The system creates individualized driver profiles that store specific characteristics and preferences for each driver, such as seating position, mirror adjustments, and monitoring thresholds. This local quality approach allows the system to be tailored to each driver's specific needs and characteristics, improving effectiveness while managing complexity through profile-based personalization.
Solution Approach 2:
The system performs preliminary actions by collecting driver data during initial use and creating customized profiles before full operation begins. This preliminary customization allows the system to adapt to individual drivers in advance, improving effectiveness from the start while managing complexity through phased implementation.
3Measurement precision
If comprehensive data collection and processing is implemented, then driver risk assessment accuracy is improved, but use of energy increases
Solution Approach 1:
The system extracts only the most relevant data from comprehensive collections, focusing on critical parameters such as driver eye position, head orientation, and immediate environmental hazards. This extraction approach maintains high risk assessment accuracy by concentrating processing resources on the most important data points while reducing overall energy consumption compared to processing all available data equally.
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 minimizes driver blind spots, assesses and classifies risks, and provides appropriate warnings to improve driver awareness and safety, acting as an additional set of eyes and ears to reduce accidents by adapting to individual driver profiles and vehicle configurations.
Implementation Method 1
LIDAR
Data Source
AI summary
Systems and methods for promoting safety during operation of a passenger vehicle. Such a system/method may determine positions of rear and sideview mirrors of a passenger vehicle that are optimized for a particular driver of the passenger vehicle to minimize “blind spots” based on the driver and the particular vehicle configuration, and for moving the rear and sideview mirrors into the optimized positions. Alternatively or in addition, such a system/method may collect data corresponding to internal and external conditions of the vehicle, optionally establish a driver profile of typical driving characteristics from the collected data, determine potential risks and/or hazards from the collected data, and warn the driver of the potential risks and/or hazards.