LIDAR Resource Allocation for Mutual Interference
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Solution Overview
Problem
Mutual interference occurs when multiple self-driving vehicles equipped with LIDAR systems perform laser signal transmission using the same time-frequency resources, leading to inaccurate navigation and potential collisions.
Innovation Solution
A resource determining method and apparatus that identifies and switches to an idle time-frequency resource to prevent interference, where a server manages vehicle locations and time-frequency resources, determining if adjacent vehicles use the same resource and reallocating to minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple LIDAR systems use the same time-frequency resource for laser signal transmission, then transmission efficiency is improved, but mutual interference occurs between adjacent vehicles
Solution Approach 1:
The patent implements dynamic time-frequency resource allocation where LIDAR systems continuously report their used resources and locations to a server. The server dynamically adjusts and reallocates time-frequency resources based on real-time vehicle positions and resource usage patterns, transitioning from static slot-based allocation to dynamic resource management that adapts to changing spatial relationships between vehicles
Solution Approach 2:
The patent establishes a feedback mechanism where LIDAR systems report their time-frequency resource usage and location information to a server. The server uses this feedback information to detect conflicts and reallocate resources, creating a closed-loop system that continuously optimizes resource assignment based on actual interference conditions
2Object-affected harmful factors
If guard slots are introduced to prevent interference, then interference is reduced, but time efficiency deteriorates due to unused time periods
Solution Approach 1:
The patent changes the allocation parameters from fixed time slots with guard intervals to flexible time-frequency resources. Instead of using uniform time slots with mandatory guard periods, the system dynamically assigns specific time-frequency combinations based on actual vehicle positions and interference conditions, optimizing the balance between interference prevention and time utilization
3Device complexity
If static slot-based allocation is used, then system complexity is reduced, but adaptability to changing vehicle positions deteriorates
Solution Approach 1:
The patent implements preliminary resource allocation where the server pre-assigns time-frequency resources to LIDAR systems based on their initial locations and reported usage patterns. This preliminary assignment reduces the need for continuous complex calculations while maintaining adaptability through periodic updates when vehicle positions change
Data Source
AI summary
Methods for determining a self-driving technology-based resource and communications are provided. One example method includes that a server determines a first time-frequency resource and a first location of the first vehicle; determines a first area range in which the first vehicle is located; when a second vehicle exists in the first area range, and a second time-frequency resource of the second vehicle is the same as the first time-frequency resource, determines, from time-frequency resources in the first area range, a third time-frequency resource including an idle time-frequency resource; and the server sends the third time-frequency resource to the first vehicle, and the first vehicle performs laser signal transmission by using the third time-frequency resource.