Unmanned Driving Path Segmentation for Faster Scenario Control
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Solution Overview
Problem
Existing unmanned driving systems face inefficiencies in processing and analyzing vast amounts of environment information, leading to increased resource consumption and reduced efficiency in adjusting control strategies for unmanned devices.
Innovation Solution
The method involves pre-obtaining preplanned target paths and corresponding scenario types, allowing the unmanned driving system to quickly determine the current scenario type and control strategy based on the unmanned device's environment, thereby reducing the need for extensive processing and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the unmanned driving system processes and analyzes vast amounts of environment information in real-time, then the control strategy can be accurately adjusted, but the resource consumption increases and processing efficiency decreases
Solution Approach 1:
The patent applies preliminary action by pre-dividing the path into multiple subpaths with different scenario types before the unmanned device actually traverses them. The system pre-establishes the correspondence between subpaths and scenario types, so that during actual operation, the device only needs to determine which pre-defined subpath it is on rather than analyzing all environment information from scratch. This reduces real-time processing requirements while maintaining accurate control strategy selection.
2Measurement precision
If the unmanned driving system performs extensive processing and analysis on environment information, then the control strategy can be precisely determined, but the time consumption increases
Solution Approach 1:
The patent applies segmentation by dividing the entire path into multiple discrete subpaths, each associated with a specific scenario type. Instead of analyzing the complete environment information to determine scenario type, the system only needs to identify which pre-segmented subpath the unmanned device is currently on. This segmentation dramatically reduces the complexity and time required for scenario type identification while maintaining precise accuracy.
Data Source
AI summary
An unmanned device control method and apparatus, a storage medium, and an electronic device. An unmanned device is controlled to move according to a preplanned target path; current environment information of the unmanned device is obtained; according to the current environment information of the unmanned device, a target subpath on which the unmanned device is located is determined, from target subpaths included in the target path, as a designated subpath; and a control strategy is then determined according to a scenario type corresponding to the designated subpath, and a determined control strategy is used to control the unmanned device.