Autonomous Mobile Radar Layout for Full 3D Obstacle Coverage
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Solution Overview
Problem
The challenge in autonomous mobile devices is achieving comprehensive obstacle sensing while minimizing costs and optimizing radar configurations, particularly in complex application scenarios like warehousing and logistics, where undeterminable factors complicate control and navigation, and high costs are associated with top-level performance.
Innovation Solution
The solution involves strategically arranging 3D all-round looking lidars on an autonomous mobile device to ensure spherical dead-corner-free scanning with reduced radar count, using symmetrical configurations to cover three-dimensional spaces, and employing an Enhanced Communication Abstraction Layer (ECAL) protocol for efficient data fusion across different radar systems from various manufacturers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple radars from different manufacturers are used to achieve comprehensive sensing coverage, then sensing reliability is improved, but device complexity and cost increase
Solution Approach 1:
The ECAL protocol serves as a universal communication interface that enables different radar systems from various manufacturers to be integrated into a unified data fusion framework, allowing the system to achieve comprehensive sensing capabilities through standardized multi-functional integration rather than requiring custom integration for each radar type
Solution Approach 2:
The ECAL protocol acts as an intermediary layer between heterogeneous radar systems and the upper-level algorithms, providing standardized data interfaces and communication protocols that simplify the integration process and reduce system complexity while maintaining reliability through consistent data fusion
2Measurement precision
If top-level performance is achieved through high-end radar configurations, then sensing precision is improved, but cost increases
Solution Approach 1:
The patent combines data from multiple radars with different performance levels through the ECAL protocol's unified data fusion framework, achieving sensing precision comparable to high-end single-radar systems by leveraging the complementary strengths of multiple radars at lower individual performance tiers
Solution Approach 2:
The ECAL protocol enables dynamic adjustment of data fusion parameters and processing algorithms to optimize sensing precision based on the specific configuration of radars available, allowing the system to achieve high measurement precision through software optimization rather than requiring expensive hardware upgrades
3Quantity of substance
If radar count is reduced to lower cost, then cost decreases, but sensing coverage may be compromised
Solution Approach 1:
The ECAL protocol enables effective utilization of three-dimensional spatial information from radar systems by implementing sophisticated data fusion algorithms that process range, azimuth, and elevation data in 3D space, allowing reduced radar counts to maintain comprehensive coverage through optimized spatial data integration rather than relying on increased radar quantity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach achieves full-coverage sensing with reduced radar usage, lowering overall costs while maintaining high performance by optimizing radar placement and integrating an ECAL protocol for seamless data fusion, thereby enhancing navigation and control capabilities.
Implementation Method 1
3D all-round looking lidars
Data Source
AI summary
The present disclosure relates to an autonomous mobile device, a control method applied to the autonomous mobile device, and a controller. In one aspect, the present disclosure provides the autonomous mobile device, which includes: a first radar; and a controller, configured to process first radar data from the first radar to operate the autonomous mobile device.