Logistics Simulator Integrating Real Hardware and Video Feeds
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Solution Overview
Problem
Existing technologies for training logistics drivers lack the incorporation of real-world logistics vehicle hardware components and fail to accurately simulate real-world logistics operations, resulting in inadequate user experience and accuracy.
Innovation Solution
A logistics vehicle simulator that includes real-world logistics vehicle hardware components such as a seatbelt, handrail, steering wheel, DIAD, and monitors to display real-world video feeds and augmented reality overlays, allowing users to perform logistics operations in a simulated environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If CGI simulators and existing immersive technologies are used, then training can be conducted in a controlled environment, but real-world logistics vehicle hardware components and video capturing real world features cannot be incorporated
Solution Approach 1:
The patent merges virtual simulation elements with physical logistics vehicle hardware components into a single integrated training system. The simulator combines CGI-generated training scenarios with real-world hardware components (seats, mirrors, control panels) to create an immersive training environment that accurately replicates actual vehicle operations while maintaining controlled training conditions.
Solution Approach 2:
The system creates accurate copies of real-world logistics vehicles and their hardware components within the simulator. Virtual replicas of vehicle features, control mechanisms, and operational interfaces are replicated to faithfully represent real-world conditions, enabling trainees to practice with identical or near-identical components to those they will use in actual employment.
2Measurement precision
If existing immersive technologies are used, then training can be provided, but accuracy in simulating real-world logistics operations is insufficient
Solution Approach 1:
The simulator incorporates feedback mechanisms that provide real-time information to trainees about their performance and the accuracy of their actions. The system monitors and responds to trainee interactions with the simulated vehicle systems, providing immediate feedback on procedural accuracy, safety compliance, and operational effectiveness to enhance learning and improve accuracy.
Solution Approach 2:
The training system is divided into multiple segments that progressively introduce trainees to different aspects of logistics vehicle operation. The simulator breaks down complex operations into discrete, manageable tasks and scenarios, allowing trainees to master individual components before integrating them into comprehensive operational sequences, thereby improving overall accuracy.
Data Source
AI summary
The present disclosure is directed, in part, to improving existing technologies by detecting engagement of the one or more components of the logistics vehicle, which may be indicative of receiving an indication that the user is performing at least a first logistics operation. At least partially in response to the detecting, various embodiments cause display, at one or more monitors, of data where the data includes one or more instructions for the user to perform at least a second logistics operation and/or the data includes a video feed of real world scenes.


