Vehicle Platoon Shared Control Using a Shared World Model

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Solution Overview

Problem

Current autonomous vehicle systems lack effective collaboration between human drivers and autonomy logic when vehicles travel in formation, limiting their ability to make complex decisions and adapt to dynamic environments.

Innovation Solution

Implementing a shared world model that allows vehicles to share information, including sensor data, human inputs, and processed information, enabling collaborative decision-making between human drivers and autonomy logic, allowing for actions like lane changes, speed adjustments, and role swapping within vehicle platoons.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If vehicles travel autonomously in formation without human intervention, then productivity and energy efficiency are improved, but adaptability to dynamic environments and complex decision-making capability deteriorate

Engineering Contradiction:
Improveplatoon operation efficiencyVSAvoidadaptive decision-making capability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

A communication system serves as an intermediary between human drivers and autonomous vehicle systems, enabling information exchange and collaborative decision-making. The system transmits driver intentions, environmental perceptions, and control decisions between vehicles and human operators, allowing autonomous vehicles to benefit from human adaptability while maintaining automated operation efficiency.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of time

If full autonomous control is implemented in platoon vehicles, then loss of time and energy are reduced, but reliability in handling complex situations deteriorates due to limitations of current autonomy logic

Engineering Contradiction:
Improveplatoon coordination timeVSAvoiddecision-making reliability in complex situations
Core Design Contradiction:
Loss of timeVSReliability

Solution Approach 1:

The system implements continuous feedback loops where autonomous vehicles share sensor data, environmental perceptions, and decision rationing with human drivers through the communication system. This feedback mechanism allows human drivers to monitor and intervene when necessary, improving reliability in complex situations while maintaining efficient automated operation during normal conditions.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If human drivers control all aspects of platoon operation, then adaptability and complex decision-making are improved, but productivity and energy efficiency deteriorate due to increased cognitive load and human limitations

Engineering Contradiction:
Improvehuman driver adaptabilityVSAvoidplatoon operation efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The system implements partial automation where autonomous control handles routine platoon operations (speed matching, spacing maintenance, lane keeping) while human drivers focus on higher-level decision-making and exception handling. This partial action approach maintains productivity benefits of automation while preserving human adaptability for complex situations, reducing overall cognitive load compared to full manual control.

Inventive Principle:
Principle #16Partial or excessive action

4Device complexity

If autonomous vehicles operate independently without shared information, then device complexity is reduced, but loss of information and collaborative decision-making capability deteriorate

Engineering Contradiction:
Improvesystem information sharing complexityVSAvoidshared environmental perception information
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The system merges information from multiple sources including sensor data from autonomous vehicles, environmental perceptions, and human driver inputs into a unified communication framework. This combining approach enables comprehensive information sharing across the platoon without requiring each vehicle to process and transmit all individual data streams separately, managing complexity while maximizing information availability for collaborative decision-making.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS11995991B2Shared control for vehicles travelling in formation
Publication Date: 2024.05.28 STACK AV CO
  • US11995991B2 patent drawing
  • US11995991B2 patent drawing
  • US11995991B2 patent drawing

AI summary

Methods and apparatus for controlling two or more vehicles travelling in formation. Selected vehicles may be fully or partially autonomously controlled; at least one vehicle is partially controlled by a human driver. Information is collected at each vehicle and from the drivers and it is shared with other vehicles and drivers to create a shared world model. Aspects of the shared world model may be presented to the human driver, who may then respond with a control input. Autonomy systems and the drivers on the vehicles then collaborate to make a collective decision to act or not to act and execute any such action in a coordinated manner.