Factory Shuttle V2X Positioning for Lidar-Free Autonomous Transfer
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Solution Overview
Problem
Automobile production factories face high costs and operational insecurity due to manual driving of shuttle cars, which can lead to human errors and require expensive equipment like lidar for autonomous driving, especially in outdoor environments with varying weather conditions.
Innovation Solution
A Vehicle to Everything (V2X) communication-based unmanned transfer system that uses a roadside unit to provide high-precision positioning information and error correction, enabling autonomous driving of shuttle cars within production factories, thereby reducing the need for lidar and enhancing safety through a private communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual driving of shuttle cars is used, then operational flexibility is maintained, but labor costs increase and human errors occur
Solution Approach 1:
The autonomous vehicle performs transfer operations independently using self-contained sensors, processors, and control systems. The vehicle autonomously navigates, detects obstacles, and executes transfer tasks without continuous human intervention, thereby eliminating human errors while maintaining operational flexibility through programmable control.
Solution Approach 2:
The patent replaces manual mechanical control with electronic and software-based autonomous driving systems. Sensors, processors, and control algorithms substitute human operators, enabling automated navigation and operation while improving reliability and reducing labor costs.
2Extent of automation
If expensive equipment like lidar is mounted for autonomous driving, then autonomous driving function is achieved, but system cost increases
Solution Approach 1:
The patent combines multiple sensing functions (obstacle detection, positioning, environmental perception) into an integrated autonomous driving system that uses cost-effective sensor combinations. By merging camera-based vision systems with affordable sensors and sophisticated algorithms, the system achieves autonomous driving capability without requiring expensive lidar equipment.
Solution Approach 2:
The patent employs cost-effective, commercially available sensors and components rather than expensive specialized equipment like lidar. The system uses standard cameras, ultrasonic sensors, and processors that are more affordable and easier to maintain, reducing overall system complexity and cost while achieving the required autonomous driving function.
3Productivity
If autonomous driving is implemented outdoors with varying weather conditions, then unmanned transfer is achieved, but operational insecurity increases due to weather/temperature effects
Solution Approach 1:
The autonomous driving system dynamically adapts to varying weather and temperature conditions by adjusting sensor parameters, processing algorithms, and control strategies in real-time. The system incorporates environmental sensing and adaptive control that modifies its operation based on current conditions, maintaining reliability across diverse outdoor environments.
Solution Approach 2:
The system continuously monitors environmental conditions through sensors and uses feedback loops to adjust its operation. By incorporating real-time data from temperature sensors, humidity sensors, and performance monitoring, the system compensates for weather effects and maintains stable autonomous driving performance under varying conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution reduces labor and communication costs, minimizes human errors, and ensures safe autonomous driving by correcting location information errors and sharing detection information within the factory infrastructure, establishing a reliable in-house communication network.
Implementation Method 1
generates positioning error correction information based on high-precision Real Time Kinematic-Global Navigation Satellite System (RTK-GNSS) based on a fixed absolute coordinate
Implementation Method 2
a road side unit, which is fixed around a road in the production factory to relay the V2X communication
Implementation Method 3
a detection module, which includes at least one detection equipment between a radar or a lidar and detects road environment and obstacle occurrence information through radio wave emission
Implementation Method 4
a monitoring camera, which photographs a surrounding area and monitors a road environment and a moving vehicle
Implementation Method 5
a monitoring camera, which photographs a surrounding area
Data Source
AI summary
A production factory unmanned transfer system includes: a vehicle, which connects Vehicle to Everything (V2X) communication with an infrastructure facility in a vehicle production factory and transfers a worker to a set destination in an unmanned manner through autonomous driving; and a road side unit, which is fixed around a road in the production factory to relay the V2X communication and which generates positioning error correction information based on high-precision Real Time Kinematic-Global Navigation Satellite System (RTK-GNSS) based on a fixed absolute coordinate and transmits the generated positioning error correction information to the vehicle. The vehicle includes a vehicle terminal, which controls autonomous driving according to a lane of a precise map based on high-precise positioning information obtained by correcting an error of satellite-based vehicle location information with the positioning error correction information.