Logistics Yard Vehicle Guidance Using Camera-Based Identification
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Solution Overview
Problem
Existing systems for identifying and guiding transport vehicles within logistics yards are limited in their applicability and often require complex setups, failing to provide comprehensive tracking and maneuvering assistance.
Innovation Solution
A system comprising an identification/guidance (I/G) unit attached to transport vehicles, communicating with a remote controller and portable devices, using cameras and sensors to transmit location and guidance information, facilitating vehicle tracking and maneuvering through the yard.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If detailed tracking information is maintained for each transport vehicle, then vehicle identification and management capability is improved, but system complexity and data management burden increase
Solution Approach 1:
The patent uses visual copies (images) of transport vehicles captured by cameras as identifiers. Instead of maintaining complex detailed tracking information, the system creates visual copies of vehicles and uses image recognition to identify them. This replaces complex data management with simpler visual pattern recognition, resolving the contradiction between identification reliability and system complexity.
2Measurement precision
If multiple cameras and sensors are deployed throughout the logistics yard, then vehicle tracking precision and guidance accuracy are improved, but system cost and installation complexity increase
Solution Approach 1:
The patent makes cameras serve multiple functions: they capture images for vehicle identification, track vehicle positions, and provide guidance information. By making the camera system universal and multi-functional, the patent reduces the need for separate specialized sensors and tracking devices, thereby reducing installation complexity while maintaining high measurement precision.
Solution Approach 2:
The system uses captured images to provide real-time feedback on vehicle positions and movements. This feedback mechanism enables precise tracking and guidance without requiring complex dedicated sensing systems, as the same cameras that capture identification images also provide continuous position information through image analysis.
3Ease of operation
If real-time image processing and vehicle identification are performed, then maneuvering assistance accuracy is improved, but computational load and processing time increase
Solution Approach 1:
The patent processes only the necessary portions of captured images - specifically focusing on identifying and tracking the transport vehicle of interest rather than analyzing entire scenes in detail. This partial processing approach provides sufficient maneuvering assistance accuracy while significantly reducing computational energy consumption compared to full-scene analysis.
Data Source
AI summary
Identification and guidance systems configured to facilitate vehicle management in logistics yards or the like are described. The systems can include an identification and guidance (I/G) unit attached to each transport vehicle within the logistics yard. The I/G unit transmits information (e.g., location and guidance information) over a wireless network to a remote controller. The remote controller can transmit relevant information received from the I/G unit to a portable communications device associated with the transport vehicle to which the I/G unit is mounted. For example, the portable communications device may be located in a tractor being used to maneuver the transport vehicle about the logistics yard so that the driver can use the information displayed on the portable communications device to assist with maneuvering the transport vehicle. Related methods are also described.