Mobile Object Identification Using Unmanned Vehicle Sensing
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Solution Overview
Problem
Control systems for unmanned vehicles often fail to effectively identify objects due to limitations in sensing device installation locations, angles, and heights, resulting in incomplete information and inability to determine object categories.
Innovation Solution
A system, method, and apparatus that utilize a sensing device to identify unknown objects by transmitting data to nearby unmanned vehicles equipped with high-resolution cameras and sensors, allowing them to provide additional information for object categorization, which is then fed back to the control device for accurate identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If sensing devices are installed in fixed locations with limited angles and heights, then the system structure is simple and installation is easy, but the object identification completeness and accuracy deteriorate
Solution Approach 1:
The patent introduces a new spatial dimension by deploying unmanned vehicles that can move to different positions and angles around the target area. This multi-dimensional approach allows sensing devices on unmanned vehicles to capture object information from multiple perspectives, compensating for the limitations of fixed installation locations and achieving complete object identification without compromising installation simplicity.
2Loss of information
If multiple sensing devices are deployed at different locations and angles, then object information completeness improves, but the system complexity and installation difficulty increase
Solution Approach 1:
The patent makes unmanned vehicles multi-functional by equipping them with sensing devices that can perform both transportation tasks and object identification functions. The same unmanned vehicle can be used for different missions while serving as a mobile sensing platform, eliminating the need for separate fixed sensing installations at multiple locations and thereby reducing overall system complexity.
Solution Approach 2:
The patent transitions from static fixed sensing devices to dynamic mobile sensing platforms. Unmanned vehicles can dynamically adjust their positions, angles, and heights based on real-time identification needs, providing flexible information collection without requiring complex fixed infrastructure at multiple predetermined locations.
3Ease of operation
If centralized control system uses fixed sensing devices, then control and management is simplified, but object identification accuracy deteriorates
Solution Approach 1:
The patent enables unmanned vehicles to autonomously navigate to optimal positions and perform object identification tasks independently. The vehicles are equipped with onboard sensing devices and processing capabilities that allow them to self-manage the identification process, reducing the burden on the centralized control system while significantly improving identification accuracy through multi-perspective data collection.
Data Source
AI summary
The present disclosure provides a system, a method and an apparatus for object identification, capable of solving the problem in the related art that a system for centralized control and management of unmanned vehicles may not be able to identify an object effectively. The system for object identification includes a sensing device, a control device and one or more unmanned vehicles. The control device is configured to determine an object not belonging to a predetermined category as an unknown object by performing object identification based on sensed data; mark the unknown object in the sensed data including the unknown object; determine an unmanned vehicle within a predetermined range from the unknown object; transmit the sensed data with the marked unknown object and an instruction to identify the unknown object to the determined unmanned vehicle; receive a feedback message from the unmanned vehicle, and when the feedback message carries information on an object category, save the information on the object category and mark a category of the unknown object as the saved object category.