Autonomous Vehicle Motion Sickness Control Using Passenger Sensitivity
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Solution Overview
Problem
Existing systems for preventing motion sickness in autonomous vehicles are inconvenient for passengers, as they require manual input to change routes and do not consider individual sensitivity levels, leading to delayed responses and ineffective prevention.
Innovation Solution
A control system that estimates a vehicle motion sickness index before travel through simulation and compares it with passenger sensitivity thresholds, and during travel, adjusts vehicle behavior to minimize motion sickness frequency by using sensors and cloud-stored passenger information to dynamically control boarding locations and vehicle behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a user manually inputs motion sickness occurrence and changes route, then motion sickness prevention can be achieved, but the system becomes inconvenient for users and response time is delayed
Solution Approach 1:
The system uses sensors to automatically detect passenger state information (heart rate, body temperature, sweat secretion) and autonomously determines motion sickness occurrence without requiring manual user input. The control unit automatically adjusts vehicle behavior based on detected parameters, making the system self-servicing and eliminating the need for user manipulation.
Solution Approach 2:
The system continuously monitors passenger physiological parameters through sensors and feeds this information back to the control unit. Based on this feedback, the control unit automatically adjusts vehicle behavior (speed, acceleration, route) to prevent or reduce motion sickness, creating a closed-loop control system that responds dynamically to passenger needs.
2Reliability
If a system uniformly stimulates passenger vision according to vehicle movement, then motion sickness prevention can be provided, but individual sensitivity levels are not considered leading to ineffective prevention
Solution Approach 1:
The system applies different control strategies to different passengers based on their individual sensitivity levels. By detecting specific physiological parameters (heart rate, body temperature, sweat secretion) for each passenger, the system tailors the vehicle behavior adjustments and visual stimulation patterns to match each passenger's unique motion sickness susceptibility, rather than applying a uniform approach to all passengers.
Solution Approach 2:
The system dynamically adjusts control parameters based on real-time detection of passenger state information. As passengers' physiological conditions change during travel, the system continuously adapts the vehicle behavior and visual stimulation intensity to match the current state, making the prevention approach flexible and responsive to individual needs rather than static and uniform.
3Ease of operation
If vehicle behavior is adjusted to reduce motion sickness frequency, then passenger comfort is improved, but additional control mechanisms and sensors are required
Solution Approach 1:
The system uses a multi-functional control unit that integrates sensor data processing, motion sickness detection, vehicle behavior control, and visual stimulation management into a single centralized controller. This universal control mechanism handles multiple functions (detecting passenger state, determining motion sickness occurrence, adjusting vehicle parameters, and controlling visual displays) thereby reducing overall system complexity despite the multiple functions being performed.
Solution Approach 2:
The system combines multiple sensors (heart rate sensors, body temperature sensors, sweat secretion sensors) and control functions into an integrated monitoring and control system. By merging these components into a unified system managed by a single control unit, the patent reduces the complexity that would arise from having separate independent systems for each function.
Data Source
AI summary
A system for controlling an autonomous vehicle is capable of predicting and eliminating a possibility of motion sickness before and during travelling of the autonomous vehicle. The system includes: a first control unit which compares a first vehicle motion sickness index that is determined by a travelling simulation with a first threshold set including passenger information before travelling and controls a boarding location of a passenger before travelling; and a second control unit which computes a passenger motion sickness index from passenger state information and vehicle state information detected during travelling, compares a second threshold indicating the degree of sensitivity to motion sickness according to passenger information during travelling with the passenger motion sickness index, and controls the autonomous vehicle so as to reduce or eliminate a generation of a motion sickness causing frequency.