SLAM Image Transmission Throttling for Adaptive Map Quality
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Solution Overview
Problem
SLAM-enabled devices face challenges in managing large volumes of data traffic and maintaining accurate localization due to varying precision needs and network congestion, especially in devices with limited processing power and storage, leading to suboptimal data transmission and map quality.
Innovation Solution
Dynamic bitrate adjustment and image data quality management based on proximity and speed of objects, leveraging network edge service processing to optimize data transmission and enhance map accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dynamic bitrate adjustment is implemented based on proximity and speed, then localization accuracy is improved, but device complexity increases
Solution Approach 1:
The system dynamically adjusts bitrate and image resolution parameters based on real-time detection of object proximity and device speed. The bitrate adjustment module modifies transmission parameters adaptively, switching between high and low bitrate modes depending on whether objects are detected in the field of view and their distance, thereby achieving high localization accuracy when needed while maintaining lower complexity during normal operation
Solution Approach 2:
The system changes key parameters including bitrate, image resolution, and frame rate based on detected conditions. When objects are detected within a threshold distance, the system increases bitrate and resolution parameters; when objects are farther away or the device moves faster, it reduces these parameters, thus resolving the contradiction between accuracy and complexity through parameter adaptation
2Manufacturing precision
If high bitrate and high resolution image data are transmitted continuously, then map quality is improved, but bandwidth usage increases
Solution Approach 1:
The system dynamically adjusts transmission parameters including bitrate and image resolution based on real-time detection of objects and device motion. When objects are detected within a threshold distance, high bitrate and high resolution modes are activated to ensure map quality. When objects are farther away or the device moves faster, the system reduces bitrate and resolution, thereby reducing bandwidth usage while maintaining acceptable map quality
Solution Approach 2:
The system periodically evaluates object proximity and device speed, adjusting transmission parameters at regular intervals or when detection thresholds are crossed. This periodic adjustment ensures that high bandwidth is allocated only when necessary for maintaining map quality, rather than continuously, thus optimizing the balance between map quality and bandwidth consumption
3Use of energy by moving object
If data transmission is throttled to reduce bandwidth usage, then power consumption is reduced, but localization accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts the throttling level based on real-time detection of objects and device speed. When objects are detected within a threshold distance, the system increases data transmission quality and reduces throttling to maintain localization accuracy. When objects are farther away or the device moves faster, the system increases throttling to reduce power consumption, thus resolving the contradiction between energy efficiency and accuracy through adaptive control
Solution Approach 2:
The system changes transmission parameters including bitrate, resolution, and frame rate based on detected conditions. When objects are close and the device is slow, high quality transmission is used for accurate localization. When objects are distant or the device moves fast, the system reduces transmission quality and increases throttling to lower power consumption, thereby balancing energy efficiency and localization accuracy through parameter adaptation
4Measurement precision
If frame rate is increased to improve localization accuracy, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system dynamically adjusts frame rate based on real-time detection of objects and device speed. When objects are detected within a threshold distance, the system increases frame rate to improve localization accuracy. When objects are farther away or the device moves faster, the system reduces frame rate to lower power consumption, thus resolving the contradiction between accuracy and energy usage through adaptive frame rate control
Solution Approach 2:
The system periodically evaluates detection conditions and adjusts frame rate accordingly. High frame rates are maintained periodically when objects are close to provide continuous accurate localization. When objects are distant or the device moves fast, the system reduces frame rate periodically, thereby reducing power consumption while maintaining acceptable localization accuracy through intermittent high-precision measurements
Data Source
AI summary
A communication control method for a SLAM device may include requesting an adjustment of a framerate of the sensor of the first device for obtaining additional image data or a request for an adjustment of image resolution, framerate or other parameters of additional image data to be received from the SLAM device, according to the speed of the SLAM device or a distance of the SLAM device from nearby objects. Also, map data of a device region of the SLAM device initially used for guiding the device may be updated if higher quality image data is received, to aid in improved navigating of the device region based on the updated map data.