Blind Spot Detection Switching for Remote-Controlled Mobile Bodies
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Solution Overview
Problem
Existing unmanned vehicle movement systems face challenges in detecting objects in blind spots due to positional relationships between vehicles and detectors, leading to incomplete surroundings monitoring and potential safety hazards.
Innovation Solution
A system comprising mobile body detectors, position estimation units, controllers, and blind spot detectors that use a combination of image and three-dimensional point cloud data to detect and estimate positions, enabling the detection of objects in blind spots and dynamic switching of detectors to maintain accurate monitoring as the vehicle moves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single detector is used to track the mobile body, then the device complexity is reduced, but blind spots are generated in the vicinity of the mobile body that cannot be detected
Solution Approach 1:
The detection system is segmented into multiple detectors (first detector and second detector) with different detection ranges. The first detector captures images at a first detection range while the second detector captures images at a second detection range, dividing the monitoring task to eliminate blind spots and improve overall detection reliability.
2Reliability
If multiple detectors with different detection ranges are used, then blind spots are eliminated and monitoring reliability is improved, but device complexity increases
Solution Approach 1:
Multiple detectors with different detection ranges are merged into a unified detection system. The first detector and second detector work together, with their respective images combined and processed by the same control unit, achieving comprehensive coverage while managing complexity through integrated control.
Solution Approach 2:
The system dynamically switches between different detectors based on the mobile body's position and movement state. When the mobile body moves beyond the first detection range, the system transitions to using the second detector, creating a dynamic adaptation that maintains reliability without requiring all detectors to operate simultaneously.
3Adaptability or versatility
If the detector configuration is fixed, then device complexity is reduced, but the system cannot adapt to dynamic blind spots that change with mobile body movement
Solution Approach 1:
The control unit continuously receives image data from detectors and monitors the mobile body's position and movement state. Based on this feedback, the system determines whether the mobile body has moved beyond the first detection range and automatically switches between detectors, creating a closed-loop system that adapts to changing conditions.
Solution Approach 2:
The detector configuration transitions from static to dynamic, where the system automatically selects which detector to use based on real-time conditions. This dynamic switching mechanism allows the system to adapt to the mobile body's movement and maintain comprehensive coverage without requiring a complex fixed multi-detector arrangement.
Data Source
AI summary
A system includes a mobile body detector configured to detect mobile body information, a position estimation unit configured to estimate at least any one of a position and an orientation of the mobile body, a controller configured to generate a control command for causing the mobile body to travel via remote control, and a blind spot detector configured to detect blind spot information.