Atypical Audio Warning for Transport Event Detection
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Solution Overview
Problem
Current vehicle safety systems lack the ability to effectively share and utilize real-time data from other vehicles and external sources to enhance situational awareness and mitigate hazards, leading to isolated decision-making in potentially dangerous situations.
Innovation Solution
A system that uses a server to determine dangerous areas on a vehicle's route based on new conditions, sends notifications to the vehicle, and prompts atypical actions such as unusual movements to navigate through these areas until the condition is resolved, utilizing sensors, transceivers, and processors to communicate and execute these actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If vehicles operate as isolated systems with their own sensors only, then device complexity is reduced, but situational awareness and hazard mitigation capability deteriorate
Solution Approach 1:
The patent merges data from multiple vehicles and external sources into a centralized server that processes and distributes consolidated hazard information. This combining approach allows individual vehicles to maintain simple onboard systems while benefiting from collective situational awareness through shared data about dangerous areas and conditions.
Solution Approach 2:
The server acts as an intermediary between vehicles and external information sources, aggregating data from multiple vehicles, processing it to identify dangerous areas, and distributing processed information back to vehicles. This mediator architecture enables sophisticated hazard mitigation without requiring complex onboard processing in each vehicle.
2Reliability
If vehicles share real-time data with external sources and other vehicles, then hazard mitigation capability is improved, but device complexity and communication requirements worsen
Solution Approach 1:
The server serves as an intermediary that handles the complexity of data aggregation, processing, and distribution. Individual vehicles only need simple transceivers to send and receive messages, while the server performs the sophisticated tasks of identifying dangerous areas and determining atypical actions, thereby distributing system complexity to where it is most effective.
Solution Approach 2:
The server performs preliminary processing of raw sensor data from multiple vehicles, pre-identifying dangerous areas and determining appropriate atypical actions before distributing this processed information to vehicles. This advance processing reduces the real-time computational burden on individual vehicle systems.
3Ease of operation
If vehicles use standard driving patterns, then ease of operation is maintained, but ability to respond to dangerous conditions deteriorates
Solution Approach 1:
The system dynamically adjusts driving behavior based on detected dangerous conditions. The server identifies when atypical actions are needed and communicates these requirements to vehicles, allowing the system to transition from standard static driving patterns to adaptive dynamic responses only when hazardous areas are detected, maintaining simplicity during normal operation while enabling adaptability when needed.
Data Source
AI summary
An example operation includes one or more of receiving, via a transport, a transport audio, classifying, via the transport, a subset of the transport audio as an atypical transport audio, determining, via the transport, a possible source location of the atypical transport audio, transmitting, via the transport, the atypical transport audio and the possible source location to a server, determining, via the server, a set of potential causes of the atypical transport audio and receiving, via the transport, the set of potential causes of the atypical transport audio.