Autonomous Vehicle System Proximity Control for Driverless Operation
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Solution Overview
Problem
Existing driverless vehicle systems do not effectively adapt to changing driver conditions, requiring drivers to actively instruct the vehicle on route changes and resource needs, leading to inefficiencies and increased travel time.
Innovation Solution
A method that continuously tracks driver status information, using sequential criteria to autonomously determine if the vehicle should move closer to the driver based on location, resource availability, and predicted destinations, allowing for predictive autonomous driving and resource supply.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the vehicle system operates autonomously without driver monitoring, then automation level is improved, but the system cannot adapt to changing driver conditions without active driver input
Solution Approach 1:
The system continuously monitors driver status information including location, resource levels, and biometric data, using this feedback to autonomously adjust vehicle behavior and determine when movement is required, eliminating the need for active driver input while maintaining adaptability
Solution Approach 2:
The vehicle system independently evaluates driver status and autonomously decides when and where to move the vehicle based on sequential criteria, serving itself by eliminating the need for continuous driver commands while adapting to changing conditions
2Adaptability or versatility
If the driver actively determines when the vehicle should move and sets destinations, then adaptability to driver needs is improved, but driver effort and time consumption increase
Solution Approach 1:
The vehicle system autonomously monitors driver location and resource status, automatically determining when movement is needed and calculating optimal destinations without requiring driver input, thereby reducing driver effort and time consumption
3Ease of operation
If the vehicle continuously monitors driver status and autonomously determines movement timing, then driver effort is reduced, but system complexity increases
Solution Approach 1:
The monitoring system is divided into separate functional modules including location tracking, resource level monitoring, biometric sensing, and autonomous decision-making components, allowing complex functionality to be implemented through organized, manageable segments
Solution Approach 2:
The system autonomously processes driver status information and automatically determines vehicle movement timing using predefined sequential criteria, reducing driver effort while managing complexity through automated decision algorithms
Data Source
AI summary
This disclosure relates to a method for the driverless operation of a vehicle system of a motor vehicle designed for fully automatic control of the motor vehicle. In accordance with at least one sequential criterion, which evaluates a status of the driver, comprising location information describing the current position of the driver and/or comprising resource information describing an amount of a resource that is present or required for the driver, of which resource a supply is present in the motor vehicle, operating information describing the taking of the motor vehicle to a sequential position having a shorter, in particular minimum possible distance from the current position of the driver or from a predicted destination of the driver, is automatically determined and applied. A motor vehicle with an onboard vehicle system and a control device, for execution of the method, are also disclosed.