Parking Robot Obstacle Classification for Adaptive Safety Control
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Solution Overview
Problem
Conventional parking robot systems struggle with accurately distinguishing between vehicles and pedestrians, leading to potential safety accidents and the need for dedicated spaces, and existing safety systems fail to respond appropriately to different types of obstacles.
Innovation Solution
A parking robot safety device utilizing a boundary sensor, monitoring sensors, and a computer vision-based artificial intelligence model to identify and categorize obstacles, determining risk levels, and controlling the robot's operation to prevent accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If LiDAR equipment is used for detecting surrounding environments, then detection capability is improved, but accuracy in distinguishing between vehicles, persons, or other vehicles deteriorates
Solution Approach 1:
The patent combines multiple detection technologies (LiDAR, cameras, radar) into an integrated sensing system. The server receives detection results from various sensors and performs unified object classification, merging the strengths of different detection methods to achieve both high detection capability and accurate object distinction.
Solution Approach 2:
The safety system is designed to detect and classify multiple types of objects (vehicles, persons, animals, obstacles) using a unified multi-functional approach. The server performs universal object recognition and risk assessment for various entity types, enabling the system to handle diverse detection scenarios with a single integrated system.
2Reliability
If collaborative robot safety systems (fences, light curtains, CCTV) are deployed, then safety monitoring is improved, but the robot's ability to respond appropriately to different obstacle categories deteriorates
Solution Approach 1:
The system dynamically adjusts robot operation based on real-time obstacle detection and risk assessment. When obstacles are detected, the server calculates risk levels and dynamically controls the robot to stop, avoid, or continue operations based on the specific situation, enabling adaptive response to different obstacle categories while maintaining safety monitoring.
Solution Approach 2:
The system implements continuous feedback loops where detection results from sensors are fed to the server, which then controls the robot's operations based on assessed risk levels. The boundary sensor provides feedback about entities entering the work area, and the monitoring sensor provides ongoing feedback about obstacle positions, enabling the system to respond appropriately to different obstacle types while maintaining reliable safety monitoring.
3Productivity
If unmanned parking service is implemented, then operational efficiency is improved, but safety risks from undetected obstacles deteriorate
Solution Approach 1:
The system performs preliminary safety checks before the robot enters the work area. The boundary sensor detects entities attempting to enter the work area in advance, and the server assesses potential risks before the robot commences operations. This preliminary detection and assessment prevents safety incidents while maintaining unmanned operational efficiency.
Solution Approach 2:
The server acts as an intermediary between the detection sensors and the robot controller. It processes detection data, assesses risks, and mediates the robot's operations based on safety considerations. This intermediary layer enables unmanned efficient operations while continuously managing safety risks through intelligent decision-making.
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
Prevents safety accidents by variably controlling the parking robot's operation based on obstacle type and risk level, minimizing service disruptions.
Implementation Method 1
The boundary sensor may include a safety light curtain
Data Source
AI summary
A system may include a parking robot configured to provide an unmanned parking service by moving one or more vehicles within a designated work area, a boundary sensor disposed in a boundary area separating the designated work area from an external area and configured to detect an entry of an entity from the external area into the designated work area or an exit of the entity from the designated work area to the external area, a monitoring sensor disposed in the designated work area and configured to monitor the entity in the designated work area, and one or more processors. The one or more processors may be configured to: determine, via the monitoring sensor, an operation characteristic and a type of the entity, and control, based on a status of the parking robot and the type and the operation characteristic of the entity, an operation of the parking robot.