Peer-to-Peer Machine Perception Data Sharing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing work site perception systems for machines are limited by the range of perception sensors and obstacles, leading to blind zones that can hinder effective operation and safety.
Innovation Solution
A peer-to-peer communications system allows machines to share perception data, including electronic maps and obstacle information, to supplement each other's perception and reduce blind zones, using ground engaging drive mechanisms, position sensors, and perception sensors to generate and transmit data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If perception sensors are used on individual machines, then each machine can detect its local environment, but the detection range is limited and blind zones are created
Solution Approach 1:
The patent combines perception data from multiple machines through peer-to-peer communication to create a composite environmental map. Each machine's limited detection coverage is merged with others to form a comprehensive view that exceeds individual sensor capabilities, eliminating blind zones while maintaining accurate environmental detection.
2Loss of information
If a back office system is used to share sensor information, then data can be shared between vehicles, but system complexity and communication delays increase
Solution Approach 1:
The patent enables machines to autonomously share perception data directly with each other through peer-to-peer communication, eliminating the need for a centralized back office system. Each machine independently transmits and receives environmental data, reducing system complexity and communication delays while maintaining full information sharing capability.
3Reliability
If perception sensors operate independently on each machine, then each machine has autonomous detection capability, but blind zones near machines cannot be detected
Solution Approach 1:
The patent uses peer-to-peer communication as an intermediary to transfer perception data between machines. This allows each machine to maintain autonomous detection reliability while using other machines as informational intermediaries to cover blind zones, effectively sharing detection capabilities without compromising individual autonomy.
Data Source
AI summary
A short range peer-to-peer communications system includes a first perception sensor and a first peer-to-peer communications system on a first machine and a second perception sensor and a second peer-to-peer communications system on a second machine. A first controller generates a first electronic map of a first perceived work environment associated with the first machine and transmits first data associated with first electronic map to the second machine through the first peer-to-peer communications system. A second controller generates a second electronic map of the second perceived work environment associated with the second machine based upon the plurality of second raw data points, receives the first data from the first machine through the second peer-to-peer communications system, and supplements the second electronic map based upon the first data.