Autonomous Vehicle Window Clearing via Sensor-Driven Control

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Solution Overview

Problem

Autonomous vehicles face challenges in maintaining clear windows during operation, as occupants may need to view the surroundings for control or safety, but existing systems lack efficient monitoring and control mechanisms for window conditions like moisture, dirt, and debris.

Innovation Solution

An autonomous vehicle system that includes a computer configured to receive data from various sensors and collectors, using image recognition and laser sensors to determine window states and adjust parameters for windshield wipers and defrosting, communicating with a remote server for updates and control of climate settings, ensuring optimal visibility.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the autonomous vehicle system continuously monitors and controls window conditions using sensors and image recognition, then visibility and safety are improved, but device complexity and energy consumption increase

Engineering Contradiction:
ImprovevisibilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system integrates multiple functions into a unified window monitoring and control system that handles moisture detection, dirt detection, wiper control, and defrosting control through a single centralized architecture, reducing overall system complexity while maintaining comprehensive functionality

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system automatically monitors window conditions and activates appropriate clearing mechanisms (wipers or defrosting) without requiring manual intervention, enabling the vehicle to self-manage window visibility while reducing the burden on occupants

Inventive Principle:
Principle #25Self-service

2Reliability

If the system activates wipers and defrosting mechanisms to clear windows, then visibility is improved, but energy consumption increases

Engineering Contradiction:
ImprovevisibilityVSAvoidenergy consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system continuously monitors window moisture and dirt conditions through sensors and image recognition, providing real-time feedback that triggers wiper or defrosting activation only when actually needed, preventing unnecessary energy consumption while maintaining clear visibility

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system applies clearing mechanisms at thresholds that may slightly exceed minimum requirements for visibility, ensuring adequate margin for safety while avoiding excessive activation that would waste energy

Inventive Principle:
Principle #16Partial or excessive action

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 effectively monitors and controls window conditions, ensuring clear visibility for the occupant and safe operation by automatically adjusting wipers and defrosting systems based on real-time data, enhancing both safety and comfort during autonomous driving.

Implementation Method 1

using image recognition and laser sensors to determine window states

Methodology Applied
Scientific EffectLaser: Laser

Data Source

PatentUS9409549B2Autonomous vehicle window clearing
Publication Date: 2016.08.09 FORD GLOBAL TECH LLC
  • US9409549B2 patent drawing
  • US9409549B2 patent drawing
  • US9409549B2 patent drawing

AI summary

At least one datum is received relating to a condition of a window in the vehicle. A determination is made to change a parameter based on the at least one datum, the parameter governing clearing the window. An instruction is provided to initiate or change operation of a vehicle component based on the change of the parameter.