Conditional V2X Sensor Sharing for Bandwidth-Aware Object Detection

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Solution Overview

Problem

Wireless communications systems face challenges in complex and dynamic environments that attenuate or block signals, necessitating improvements in speed, data capacity, efficiency, power usage, reliability, coverage, and device intercommunication, particularly in vehicle-to-everything (V2X) communication systems.

Innovation Solution

Implementing conditional sensor data sharing methods in V2X communication, where ITS stations share raw sensor data or characteristics based on predefined conditions to optimize bandwidth and resource usage, enhancing object detection accuracy and situational awareness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If raw sensor data is transmitted in V2X messages, then object detection accuracy is improved, but bandwidth consumption increases

Engineering Contradiction:
Improveobject detection accuracyVSAvoidbandwidth consumption
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent applies local quality by selectively including raw sensor data in V2X messages based on specific conditions. Instead of uniformly transmitting raw data for all objects, the system evaluates each object and determines whether raw sensor data should be included based on factors such as object type, detection confidence, and environmental context. This conditional approach optimizes bandwidth usage while maintaining detection accuracy only when necessary.

Inventive Principle:
Principle #3Local quality

2Quantity of substance

If processed object characteristics are transmitted, then bandwidth is preserved, but object detection accuracy decreases

Engineering Contradiction:
Improvebandwidth preservationVSAvoidobject detection accuracy
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent implements dynamics by making the message content adaptive rather than static. The V2X messages dynamically adjust their composition based on real-time conditions - sometimes containing only processed characteristics, sometimes containing full raw sensor data, and sometimes containing a hybrid. This dynamic adaptation allows the system to optimize the trade-off between bandwidth efficiency and detection accuracy according to current operational needs.

Inventive Principle:
Principle #15Dynamics

3Loss of energy

If conditional data sharing is implemented, then resource efficiency is improved, but system complexity increases

Engineering Contradiction:
Improveresource efficiencyVSAvoidsystem complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-defining a set of conditions and rules that determine when raw sensor data should be included in V2X messages. These conditions are established in advance based on scenario analysis and expert knowledge, covering various driving situations, object types, and environmental factors. By pre-configuring these decision rules, the system reduces the complexity of real-time decisions while maintaining resource efficiency.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12408011B2Conditional vehicle to everything (V2X) sensor data sharing
Publication Date: 2025.09.02 QUALCOMM INC
  • US12408011B2 patent drawing
  • US12408011B2 patent drawing
  • US12408011B2 patent drawing

AI summary

Certain aspects of the present disclosure provide techniques for techniques for sensor data sharing. Certain aspects provide a method for wireless communication by a first wireless device. The method generally includes receiving, from one or more sensors, corresponding one or more raw sensor data sets and transmitting, to a second wireless device, at least one message comprising information regarding an object detected based on processing the one or more raw sensor data sets, wherein the information includes one or more characteristics of the object derived based on processing the one or more raw sensor data sets, wherein: when one or more conditions are met, the information further includes at least one raw sensor data set of the one or more raw sensor data sets; and when the one or more conditions are not met, the information does not include any raw sensor data.