Speed-Based Camera Switching for Low-Power Self-Localization
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Solution Overview
Problem
The increasing number of cameras used for self-localization in real-time environments leads to higher power consumption, necessitating a solution for reliable localization with reduced power usage.
Innovation Solution
A controller and method that selectively use either a horizontal camera or a downward camera for self-localization based on speed, optimizing camera usage to minimize power consumption while maintaining accurate localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are used for self-localization to reduce blind spots and improve reliability, then localization reliability is improved, but power consumption increases
Solution Approach 1:
The system dynamically switches between horizontal and downward cameras based on vehicle speed conditions. At high speeds, the horizontal camera captures sufficient feature points for reliable localization. At low speeds, the downward camera is activated to capture road surface features. This dynamic configuration change maintains localization reliability while minimizing power consumption by activating only the necessary camera.
Solution Approach 2:
The invention changes the operational parameter (camera selection) based on the vehicle speed parameter. By establishing a speed threshold, the system selects different camera configurations: horizontal camera for high-speed operation and downward camera for low-speed operation. This parameter-based selection resolves the contradiction by adapting the system configuration to operational conditions.
2Measurement precision
If multiple cameras operate simultaneously to capture comprehensive environmental features, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system employs dynamic camera selection based on speed thresholds rather than operating all cameras simultaneously. The controller switches between horizontal and downward camera configurations according to vehicle speed, maintaining accurate localization by selecting the appropriate camera for current conditions while reducing system complexity through selective operation.
Solution Approach 2:
Instead of continuously operating all available cameras, the system applies partial action by activating only the necessary camera (horizontal or downward) based on speed conditions. This partial operation maintains sufficient measurement precision for self-localization while avoiding the complexity of managing multiple simultaneously operating cameras.
Data Source
AI summary
The present technology relates to a controller, a control method, and a program that enable self-localization with lower power consumption.Provided are a selection unit that selects, from a horizontal camera mounted in a horizontal direction and a downward camera mounted in a downward direction, a camera used for self-localization depending on speed, and a self-localization unit that performs self-localization using an image obtained by imaging with the horizontal camera or the downward camera selected by the selection unit. The selection unit selects the horizontal camera in a case where the speed is equal to or higher than a predetermined speed, and selects the downward camera in a case where the speed is not equal to or higher than the predetermined speed. The present technology can be applied to a self-localization system.