Roadway Obstruction Detection With Gesture-Based Vehicle Proceeding
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Solution Overview
Problem
Autonomous vehicles face safety concerns with pedestrians and traffic management challenges, including slowdowns and resource wastage due to traffic surges.
Innovation Solution
Implement a system that identifies and assigns a roadway manager among vehicles to control traffic flow, uses sensors to detect and interpret gestures from pedestrians, and matches occupant profiles for potential interactions, all managed through a decentralized database like a blockchain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate without centralized traffic control, then vehicle independence and operational freedom are improved, but traffic safety and coordination deteriorate
Solution Approach 1:
The patent introduces a decentralized intermediary system where vehicles autonomously select and cooperate with fellow vehicles to form temporary traffic management teams. This mediator vehicle coordinates traffic flow and safety for multiple vehicles without requiring centralized control, thus maintaining vehicle independence while improving traffic safety through cooperative coordination.
2Productivity
If vehicles communicate and coordinate with each other, then traffic flow efficiency is improved, but system complexity and communication overhead increase
Solution Approach 1:
The patent segments the traffic management function by dividing vehicles into clusters with designated manager vehicles. Each manager vehicle handles coordination for a specific group rather than all vehicles communicating with each other. This segmentation reduces communication overhead and system complexity while maintaining efficient traffic flow through localized coordination.
3Reliability
If vehicles monitor and identify pedestrians continuously, then pedestrian safety is improved, but energy consumption and processing load increase
Solution Approach 1:
The patent implements periodic monitoring where vehicles conduct pedestrian identification and threat level assessments at regular intervals rather than continuous monitoring. The system evaluates pedestrians at specific time points, determines threat levels periodically, and only activates alert systems when thresholds are exceeded. This periodic approach maintains pedestrian safety while significantly reducing energy consumption and processing load compared to continuous monitoring.
Data Source
AI summary
An example operation may include one or more of identifying a person as a roadway obstruction via a transport moving along the roadway, determining a first threat level of the person at a first time, via the transport, when the first threat level is above a threshold, indicating via the transport, to alert at least one of an occupant of the transport and the person, detecting a gesture, via the transport, performed by the person, and the gesture indicates the transport should proceed, responsive to detecting the gesture, determining a second threat level at a second time is below the threshold, and responsive to the second threat level being below the threshold, proceeding, by the transport, along the roadway.


