Mobile Surveillance Path Planning for Stable Outdoor Imaging
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Solution Overview
Problem
Fixed cameras are ineffective in continuously monitoring outdoor areas due to unevenness and obstructions, which cause shaking and impact surveillance image quality in mobile robots used for autonomous driving.
Innovation Solution
A mobile surveillance apparatus that processes map data to select paths with minimal unevenness, includes sensors to detect surface conditions, and performs image processing to stabilize captured images by adjusting the image capturing direction relative to the driving direction, thereby reducing shaking and enhancing image stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If mobile robots are used for surveillance in outdoor areas, then the monitoring coverage area is expanded, but the image stability deteriorates due to shaking from uneven ground and obstructions
Solution Approach 1:
The system performs preliminary actions by generating multiple candidate paths in advance, evaluating their unevenness characteristics before actual traversal, and pre-selecting the optimal path. This allows the mobile robot to anticipate and prepare for potential shaking issues before they occur during surveillance operations.
Solution Approach 2:
The system changes the parameter of path selection criteria by evaluating paths based on unevenness metrics and selecting the path with minimal unevenness. This parameter optimization directly addresses image stability while maintaining expanded monitoring coverage through mobile deployment.
2Adaptability or versatility
If the mobile robot drives on paths with obstructions and unevenness, then the surveillance can cover more terrain, but the shaking increases and degrades image quality
Solution Approach 1:
The system converts the harmful effect of unevenness into a useful selection criterion by evaluating and comparing path unevenness. What would normally be a detrimental factor (driving on uneven ground) becomes the basis for intelligent path selection, allowing the system to choose routes that minimize shaking while still achieving terrain coverage.
Solution Approach 2:
The system implements feedback by continuously evaluating path characteristics based on map data and sensor information, selecting paths with optimal unevenness properties, and adjusting surveillance operations accordingly. This closed-loop approach ensures that terrain coverage is achieved while minimizing harmful shaking effects.
3Stability of the object's composition
If fixed cameras are used for surveillance, then the image stability is maintained, but the ability to continuously monitor outdoor areas is lost
Solution Approach 1:
The system applies dynamics by transitioning from static fixed cameras to mobile surveillance robots that can move and adapt to different locations. The mobile platform provides continuous monitoring capability across outdoor areas while incorporating path selection algorithms that minimize shaking to maintain image stability.
Data Source
AI summary
A mobile surveillance apparatus includes: a communication interface configured to receive map data of a preset area; and a processor configured to process the map data by reflecting at least one of unevenness and obstruction on a driving surface of a mobile module, and set a path for the mobile module, based on the processed map data.