CONTEXT-BASED IDENTIFICATION OF VEHICLE CONNECTIVITY

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CONTEXT-BASED IDENTIFICATION OF VEHICLE CONNECTIVITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 18299187 titled 'CONTEXT-BASED IDENTIFICATION OF VEHICLE CONNECTIVITY

Simplified Explanation: The patent application describes a method for an ego vehicle to identify surrounding vehicles, determine their states, dynamically determine parameters for identifying connected vehicles, and detect connected vehicles through message exchanges.

Key Features and Innovation:

Identification of surrounding vehicles based on sensor data
Determination of states of ego vehicle and surrounding vehicles
Dynamic determination of parameters for identifying connected vehicles
Detection of connected vehicles through message exchanges

Potential Applications: This technology could be used in autonomous vehicles, traffic management systems, and vehicle-to-vehicle communication systems.

Problems Solved: This technology addresses the challenges of accurately identifying and detecting connected vehicles in a dynamic environment.

Benefits:

Improved safety on the road
Enhanced communication between vehicles
Efficient traffic flow management

Commercial Applications: The technology could be applied in autonomous vehicle systems, smart city infrastructure, and transportation logistics.

Prior Art: Readers can explore prior art related to vehicle-to-vehicle communication systems, connected vehicle technologies, and autonomous vehicle systems.

Frequently Updated Research: Stay informed about the latest advancements in vehicle communication technologies, connected vehicle systems, and autonomous vehicle research.

Questions about Connected Vehicle Detection: 1. How does the technology determine the states of surrounding vehicles? 2. What are the potential implications of this technology on traffic management systems?

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Original Abstract Submitted

An example operation includes one or more of identifying, via an ego vehicle, one or more surrounding vehicles of the ego vehicle based on sensor data from the ego vehicle, determining a state of an ego vehicle and a state of the one or more surrounding vehicles of the ego vehicle, dynamically determining parameters for identifying connected vehicles based on the determined states of the ego vehicle and the one or more surrounding vehicles, and detecting a connected vehicle from among the one or more surrounding vehicles via an exchange of messages between the ego vehicle and the one or more surrounding vehicles based on the dynamically determined parameters.