Autonomous Forklift Load Pickup Using Rear-Facing Camera Detection
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Solution Overview
Problem
Existing autonomous industrial trucks struggle to accurately detect and lift trolleys with goods carriers due to the inefficacy of LIDAR sensors in identifying floor markings, leading to incorrect pickup of loads.
Innovation Solution
Employing a rear-facing camera system with optional LIDAR and light sources, along with load detection modules using sensors like ultrasonic, infrared, and load cells, to precisely locate and adjust the load platform height, ensuring accurate load pickup and transport.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LIDAR sensors are used to detect trolleys and floor markings, then the autonomous truck can navigate and identify loads, but the detection accuracy is insufficient and trolleys cannot be reliably detected
Solution Approach 1:
The patent replaces the LIDAR optical detection system with a camera-based visual detection system. The camera captures images of floor markings and trolley positions, which are then processed by image recognition algorithms to identify load locations with higher accuracy. This substitution of detection mechanism resolves the contradiction by providing more reliable visual information for trolley detection.
Solution Approach 2:
The patent introduces floor markings as an intermediary visual element that facilitates detection. These markings serve as reference points that the camera system can reliably detect and use to infer trolley positions. The markings act as a mediator between the detection system and the actual trolleys, enabling indirect but more accurate detection of load locations.
2Difficulty of detecting and measuring
If sensors are installed on the forks or lifting platform to detect loads, then detection capability is improved, but the sensors must be oriented forward which complicates the structure
Solution Approach 1:
Instead of placing sensors on the forks pointing forward, the patent inverts the detection approach by placing the camera system on the lifting platform facing backward toward the load. This reverse orientation allows the sensor to detect loads after they are positioned on the platform, eliminating the need for complex forward-pointing sensor arrangements while maintaining effective detection capability.
3Manufacturing precision
If the load platform height is adjusted to pick up trolleys, then accurate load pickup is achieved, but the height adjustment precision must be high to ensure stability
Solution Approach 1:
The patent employs sensors that detect the position of trolleys and provide feedback to the height adjustment system. The detection system monitors trolley location and communicates this information to the platform height control, enabling dynamic adjustment to the precise height needed for stable load pickup. This feedback loop ensures both accurate pickup and load stability by continuously adapting the platform position to actual trolley locations.
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
Enhances the ability of autonomous trucks to reliably detect and lift trolleys, improving load stability and accuracy in transport operations.
Implementation Method 1
a camera system... to precisely locate and adjust the load platform height
Implementation Method 2
this sensor unit additionally has a LIDAR and/or a lamp
Implementation Method 3
a lamp, for example, to illuminate the detection area of the camera
Implementation Method 4
load detection modules using sensors like ultrasonic, infrared, and load cells
Implementation Method 5
load detection modules using sensors like ultrasonic, infrared, and load cells
Implementation Method 6
load detection modules using sensors like ultrasonic, infrared, and load cells
Data Source
AI summary
Transporting loads is a fundamental component of intralogistics. Autonomous industrial trucks can be used for this. The autonomous industrial truck claimed according to the invention is able, by means of the implemented navigation, load receiving and load placing methods, to ensure efficient transporting of loads. The invention relates to an autonomous industrial truck having a rearwardly-directed sensor unit for detecting the load and the loading environment and implemented process sequences for approaching the load, receiving the load and placing the load.