Inter-Vehicle Sensor Sharing for Autonomous Navigation Load Reduction

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Solution Overview

Problem

The increasing number of autonomous vehicles on the road leads to inefficient use of computing resources due to redundant data collections and computations, as each vehicle operates independently with its own sensor systems, leading to exponential computational complexity.

Innovation Solution

Autonomous vehicles share data collected by their sensor systems with other vehicles through direct or indirect communication, reducing the need for redundant computations by adjusting sampling rates and operational parameters based on shared information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If each autonomous vehicle operates independently with its own sensor systems, then each vehicle can autonomously detect and respond to its environment, but the computational complexity increases exponentially due to redundant data collections and computations across multiple vehicles

Engineering Contradiction:
Improveautonomous navigation capabilityVSAvoidcomputational complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges sensor systems and computing resources across multiple autonomous vehicles into a shared network. Vehicles exchange sensor data and computational tasks through communication interfaces, allowing the fleet to function as a distributed sensing and computing system rather than isolated units, thereby reducing redundant computations while maintaining autonomous navigation capabilities

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent implements universal data formats and communication protocols that enable sensor data from different vehicle types and sensor systems to be processed interchangeably. This multi-functionality allows any vehicle's sensor data to contribute to the navigation decisions of any other vehicle, reducing the need for each vehicle to independently process all environmental data

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Ease of operation

If each autonomous vehicle uses its own sensor systems for environment detection, then each vehicle has complete control over its sensing operations, but computing resources are wasted due to redundant data collection across the fleet

Engineering Contradiction:
Improveindependent sensor controlVSAvoidcomputing resource waste
Core Design Contradiction:
Ease of operationVSLoss of energy

Solution Approach 1:

The patent enables vehicles to selectively share their sensor data with other vehicles that would benefit from it, creating a self-service system where each vehicle contributes resources it has in excess and consumes resources it needs. This maintains operational independence while reducing overall fleet computational waste through peer-to-peer resource sharing

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements dynamic adjustment of data sharing and sampling rates based on real-time conditions. Vehicles adjust their sensor collection frequency and sharing behavior according to environmental factors, traffic conditions, and the informational needs of neighboring vehicles, optimizing the balance between independent operation and resource efficiency

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12515657B2Autonomous vehicle navigation based on inter-vehicle communication
Publication Date: 2026.01.06 RGT UNIV OF CALIFORNIA
  • US12515657B2 patent drawing
  • US12515657B2 patent drawing
  • US12515657B2 patent drawing

AI summary

In one example, a method performed by a processing system of an autonomous vehicle includes reporting, to a first remote device, at least one of: a position of the first autonomous vehicle or an object detected in an environment surrounding the first autonomous vehicle, receiving from at least one of: the first remote device or a second remote device, data, wherein the data comprises at least one of: a current position of a second autonomous vehicle or an objected detected in an environment surrounding the second autonomous vehicle, and adjusting an operation of the first autonomous vehicle in response to the data.